Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics   

          (USA-TN-Chattanooga) Data Science Analyst-Enterprise Modeling & Governance Support   
**Description:** This position will focus on the use of information and analytics to improve health and optimize customer and business processes\. It also requires the ability to pair technical and analytical skills to perform day to day job duties\. May also assist in the designing and implementation of systems and use of programming skills to analyze and report insights that drive action\. Assist in the research, validation and development of Predictive models and Identification algorithms\. **Responsibilities:** • Identify, extract, manipulate, analyze and summarize data to deliver insights to business stakeholders\. • Source data can consist of medical and pharmacy claims, program activity and participation data, as well as demographic, census, biometric, marketing and health risk assessment data\. • Perform Model Governance duties such as maintaining a library of Predictive Models and monitoring the model accuracy and performance of these models\. And other required model governance activities\. **Qualifications:** • **Bachelor’s degree in Math, Statistics or Public Health or professional analytical experience\. Qualifying backgrounds include: epidemiologists, quantitative MBAs, quantitative sociologists, data miners, behavioral economists, qualitative researchers, economists, statisticians, or biostatisticians\.** • Strong analytical, communication and technical skills • Problem solving and critical thinking skills • Experience extracting and manipulating large data \(ie: a minimum of 1 million records\) across multiple data platforms\. • Familiarity with healthcare claims data • At least 1 years coding in SAS and/or SQL experience • Familiarity with Hadoop and Teradata coding highly desired\. **US** **Candidates Only** : Qualified applicants will be considered for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, veteran status\. If you require a special accommodation, please visit our Careers website or contact us atSeeYourself@cigna\.com\. **Primary Location:** Bloomfield\-Connecticut **Other Locations:** United States\-North Carolina\-Raleigh, United States\-Colorado\-Greenwood Village, United States\-Tennessee\-Chattanooga, United States\-Pennsylvania\-Philadelphia **Work Locations:** 900 Cottage Grove Road Wilde Bloomfield 06152 **Job:** Bus Ops\-\-Operations Mgmt \(Bus\) **Schedule:** Regular **Shift:** Standard **Employee Status:** Individual Contributor **Job Type:** Full\-time **Job Level:** Day Job **Travel:** Yes, 25 % of the Time **Job Posting:** Jun 29, 2017, 10:35:24 AM
          Company With Ties To UFO Cover-up Gets Huge Antarctica Contract - Why All The Defense Contractors And Mercenaries?    
http://www.stillnessinthestorm.com

http://www.auroraexpeditions.com.au/images/uploads/expeditions/expeditions-antarctica-new-year.jpg

(Stefan Stanford) According to this interesting new story from the Herald Review, studies that were completed upon sedimentary rock in Antarctica have given us undeniable and conclusive evidence that palm trees once grew there in that land long covered by ice as also heard in the 1st video below. As the author of the Herald story asks, how is that possible when nothing other than primitive vegetation grows there today? As we hear in the 3rd and final video below featuring Clif High of the Web Bot project, the data that he mines every day tells him that something very, very strange is going on in Antarctica, and each day he's getting more and more indications that something huge is ramping up down there.
 Source - All News Pipeline

by Stefan Stanford, June 20th, 2017

Sharing with us evidence he's gotten through his internet word-monitoring project that, beyond many visits made by the elite to Antarctica, including Newt Gingrich himself in February of 2017 as seen in the Twitter screenshot below, he also sees a big ramping up of jobs in Antarctica including highly elite globalist corporations, (one with long ties to the UFO coverup!), and the numbers of military passes there indicate to him a major operation is being prepared for.


Between large tracts of land in Australia and New Zealand being dedicated to something new and still mysterious, he also tells us of the creations of new cargo routes from the areas closest to the land of ice, where it is now winter. High tells us he expects we may see something huge during the Antarctic spring while telling us one of the biggest indicators of what might be happening there now are the huge number of high tech companies becoming involved. He also tells us that whatever it is, the American people may never hear anything about it with the companies now involved.


According to the Professional Overseas Contractors website, a new company called LEIDOS recently took over the massive Antarctic support contract formerly held by deep-state, military-industrial-complex tied Lockheed Martin. Their story interestingly mentions that nowhere on LEIDOS company history page did they mention their parent company, a mega-giant for the 'deep state' called SAIC, the Scientific Applications International Company.


And as High tells us in this video, SAIC has deep ties to the secrecy surrounding UFO's, history that can be traced by those willing to investigate it including a slew of CEO's from the military-industrial-complex including retired US Navy Admiral and CIA Deputy Director Bobby Ray Inman, who's held several influential positions within the intelligence community, including time at SAIC, and who has long been believed to be one of the 'UFO Gatekeepers'.

Interestingly we also learn that the reason SAIC created LEIDOS was that they were unable to bid on certain government contracts as SAIC, but as LEIDOS they were able to bid upon them. Add in the fact that Lockheed Martin's Antarctica contract was supposed to run through 2025 but was 'conveniently' cut short, with LEIDOS taking over, and all kinds of questions arise that need to be answered with the starter: What is REALLY going on down there?


According to Steve Quayle's book "Empire Beneath The Ice", the truth about history has been hidden. In 'Empire Beneath' Quayle persuasively argues that most of what we have learned about World War II and the defeat of Nazi Germany is wrong, and the truth is something not only sinister but are at the root of some of the biggest secrets of our age.

Interestingly, Quayle's book aligns greatly with much that we're hearing from Clif High now via his Web Bot project and High tells us he believes that what's happening down there might somehow be UFO/alien related. He also claims that with most jobs in the Antarctic being seasonal and short term, there's a mathematical certainty that more and more information will be leaking out about what's really going on down there that he'll be able to data mine through his project.

Might Steve Quayle's book have been way ahead of the truth? These main points of his book are shared with us.:
Why the suppressed evidence proves Adolf Hitler didn’t die before Germany surrendered during WWII, and how he eluded capture.

How Nazi SS members, scientists, and soldiers escaped with Hitler to create colonies in other parts of the world to continue their monstrous research.

Why in 1947 Admiral Richard E. Byrd warned that the US should adopt measures to protect against an invasion by hi-tech aircraft coming from the polar regions, adding, “The time has ended when we were able to take refuge in our isolation and rely on the certainty that the distances, the oceans, and the poles were a guarantee of safety.”

How, using advanced technology, Nazi saucers defeated the US military — long after WWII was supposedly over.

Why the US space program was mostly a sham, and why the “UFOs” that started appearing around the world in the late 1940s were (and still are) most likely flown by Nazi pilots.

How key government, manufacturing, pharmaceutical, financial leaders, and institutions helped Hitler come into power, and facilitated the preservation of Nazi wealth and power after WWII.

Why today’s world is secretly controlled by a malevolent shadow government and entire populations are being surreptitiously brainwashed.

How ancient stargates have been duplicated to open portals into spiritual and demonic universes.

Why those controlling our planet have laid the groundwork for a takeover by a dictator who could best be described as the Antichrist of the Bible. Empire Beneath the Icecarefully documents these and many more astounding facts, divulging the truth about what is happening today. It gives you the insights to help prevent this diabolical takeover or, if it occurs, reveals the details and essential actions you and your loved ones must take. Empire Beneath the Ice exposes the dangers our world faces, and will arm you with the tools you need to counter these unspeakable, secret evils.




While High makes sure to reaffirm that we still don't know exactly what's going on down there, he claims that based on the few clues we do have that things are definitely ramping up. The fact that LEIDOS/SAIC refocused a core science group on Antarctica, which did part of their past work in 'reverse engineering', tells him that, while we're now living in very exciting times, a major inflection point is ahead. As he continues, with the old system dying and a new one being born, there are great opportunities along with great risks.


In the 2nd video below our videographer talks with us about the massive military build-up going on down in the Antarctic region including many defense contractors and mercenaries. Also discussed in the eye-opening final video below featuring Clif High are Bitcoin and other digital currencies and the potential for financial unrest ahead. The conversation turns towards Antarctica at the 24 minute mark. For those new to the Web Bot project, Cliff High's cutting edge technology is a set of algorithms used to process variations in the language that can offer insight into the mood of the collective unconscious through “predictive linguistics.”



found on Operation Disclosure
_________________________
Stillness in the Storm Editor's note: Did you find a spelling error or grammar mistake? Do you think this article needs a correction or update? Or do you just have some feedback? Send us an email at sitsshow@gmail.com with the error, headline and urlThank you for reading.

          Using Data Mining Strategies in Clinical Decision Making: A Literature Review   
imageSeveral data-mining models have been embedded in the clinical environment to improve decision making and patient safety. Consequently, it is crucial to survey the principal data-mining strategies currently used in clinical decision making and to determine the disadvantages and advantages of using these strategies in data mining in clinical decision making. A literature review was conducted, which identified 21 relevant articles. The article findings showed that multiple models of data mining were used in clinical decision making. Although data mining is efficient and accurate, the models are limited with respect to disease and condition.
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Irvine, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:26 GMT - View all Irvine, CA jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA jobs
          Data Engineer with Scala/Spark and Java - Comtech LLC - San Jose, CA   
Job Description Primary Skills: Big Data experience 8+ years exp in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis
From Comtech LLC - Fri, 23 Jun 2017 03:10:08 GMT - View all San Jose, CA jobs
          The Ultimate Data Infrastructure Architect Bundle for $36   
From MongoDB to Apache Flume, This Comprehensive Bundle Will Have You Managing Data Like a Pro In No Time
Expires June 01, 2022 23:59 PST
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In 2000, he graduated in computer science engineering from Politecnico di Milano with a thesis on designing multiuser and multidevice web applications. He assisted professors at the university for about a year. He then came in contact with The Net Planet Company and loved their innovative ideas; he started working on knowledge management solutions and advanced data mining products. In summer 2014, his company was acquired by a big data technologies company, where he worked until the end of 2015 mainly using Scala and Python on state-of-the-art big data software (Spark, Akka, Cassandra, and YARN). In 2013, he started freelancing as a consultant for big data, machine learning, Elasticsearch and other NoSQL products. He has created or helped to develop big data solutions for business intelligence, financial, and banking companies all over the world. A lot of his time is spent teaching how to efficiently use big data solutions (mainly Apache Spark), NoSql datastores (Elasticsearch, HBase, and Accumulo) and related technologies (Scala, Akka, and Playframework). He is often called to present at big data or Scala events. He is an evangelist on Scala and Scala.js (the transcompiler from Scala to JavaScript).

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Krishna Sankar is a Senior Specialist—AI Data Scientist with Volvo Cars focusing on Autonomous Vehicles. His earlier stints include Chief Data Scientist at http://cadenttech.tv/, Principal Architect/Data Scientist at Tata America Intl. Corp., Director of Data Science at a bioinformatics startup, and as a Distinguished Engineer at Cisco. He has been speaking at various conferences including ML tutorials at Strata SJC and London 2016, Spark Summit, Strata-Spark Camp, OSCON, PyCon, and PyData, writes about Robots Rules of Order, Big Data Analytics—Best of the Worst, predicting NFL, Spark, Data Science, Machine Learning, Social Media Analysis as well as has been a guest lecturer at the Naval Postgraduate School. His occasional blogs can be found at https://doubleclix.wordpress.com/. His other passion is flying drones (working towards Drone Pilot License (FAA UAS Pilot) and Lego Robotics—you will find him at the St.Louis FLL World Competition as Robots Design Judge.

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Cyrus Dasadia always liked tinkering with open source projects since 1996. He has been working as a Linux system administrator and part-time programmer for over a decade. He works at InMobi, where he loves designing tools and platforms. His love for MongoDB started in 2013, when he was amazed by its ease of use and stability. Since then, almost all of his projects are written with MongoDB as the primary backend. Cyrus is also the creator of an open source alert management system called CitoEngine. He likes spending his spare time trying to reverse engineer software, playing computer games, or increasing his silliness quotient by watching reruns of Monty Python.

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Nishant Garg has over 14 years of software architecture and development experience in various technologies, such as Java Enterprise Edition, SOA, Spring, Hadoop, Hive, Flume, Sqoop, Oozie, Spark, Shark, YARN, Impala, Kafka, Storm, Solr/Lucene, NoSQL databases (such as HBase, Cassandra, and MongoDB), and MPP databases (such as GreenPlum).

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Steve Hoffman has 32 years of experience in software development, ranging from embedded software development to the design and implementation of large-scale, service-oriented, object-oriented systems. For the last 5 years, he has focused on infrastructure as code, including automated Hadoop and HBase implementations and data ingestion using Apache Flume. Steve holds a BS in computer engineering from the University of Illinois at Urbana-Champaign and an MS in computer science from DePaul University. He is currently a senior principal engineer at Orbitz Worldwide (http://orbitz.com/).

          XML Data Mining   
Romei, Andrea and Turini, Franco (2009) XML Data Mining. Technical Report del Dipartimento di Informatica . Università di Pisa, Pisa, IT.
          Senior Software Engineer - Microsoft - Redmond, WA   
Knowledge of security, data mining and/or machine learning concepts a plus. Ability to work independently to actively identify and drive solutions for evolving...
From Microsoft - Thu, 29 Jun 2017 22:49:04 GMT - View all Redmond, WA jobs
          Materi Kelas 7 :Program Aplikasi (Kegunaan Program Aplikasi)   
10. SPSS
SPSS sebagai sofware statistik pertama kali dibuat tahun 1968 oleh tiga mahasiswa Stanford University, yakni Norman H. Nie, C. Hadlai Hull dan Dale H. Bent. Saat itu software dioperasikan pada komputermainframe. Setelah penerbit terkenal McGraw-Hill menerbitkan user manual SPSS, program tersebut menjadi populer. Pada tahun 1984, SPSS pertama kali muncul dengan versi PC (bisa dipakai untuk komputer desktop) dengan nama SPSS/PC+, dan sejalan dengan mulai populernya sistem operasi Windows, SPSS pada tahun 1992 juga mengeluarkan versi Windows. Dan untuk memantapkan posisinya sebagai salah satu market leader dalambusiness intelligence, SPSS juga menjalin aliansi strategis dengan software house terkemuka dunia lainnya, seperti Oracle Corp., Business Object, serta Ceres Integrated Solutions.
Hal ini membuat SPSS yang tadinya ditujukan bagi pengolahan data statistik untuk ilmu sosial (SPSS saat itu adalah singkatan dari Statistical Package for the Social Sciences), sekarang diperluas untuk melayani berbagai jenis user, seperti untuk proses produksi di pabrik, riset ilmu-ilmu sains, dan lainnya. Dan kepanjangan dari SPSS sekarang menjadi Statistical Product and Service Solutions. Pengguna software SPSS di seluruh dunia juga sangat beragam, seperti HSBC Bank, ABN AMRO Bank, AC Nielsen (biro riset pemasaran terbesar di dunia), American Airlines, British Telecom- munications, Deutsche Telekom, Canon UK, Credit Suisse, Unilever, University of Chicago, New York University, dan perusahaan besar lainnya. Saat ini SPSS tidak hanya menangani permasalahan statistik saja, namun sudah meluas ke data mining (mengeksplorasi data yang telah terkumpul) dan predictive analytic.
WINDOWS SPSS
SPSS menyediakan beberapa window, yang meliputi:
  1. Window SPSS Data Editor
  2. lihat bagian kiri atas tampilan SPSS
    Windows ini terbuka secara otomatis setiap kali program SPSS dijalankan dan berfungsi untuk input data SPSS. Pada Data Editor juga dijumpai berbagai menu utama untuk manipulasi data input dan proses data dengan berbagai macam metode statistik.
  3. Window SPSS VIEWER
  4. ada bagian kiri atas tampilan SPSS
    Jika Data Editor berfungsi untuk memasukan data yang siap diolah oleh SPSS, kemudian melakukan pengolahan data yang dilakukan lewat menu Analyze, maka hasil pengolahan data atau informasi ditampilkan lewat window SPSS VIEWER atau bisa disebut Viewer saja. Isi viewer bisa berupa sebuah Tabel, sebuah Grafik, sebuah Teks, atau kombinasi ketiganya.
  5. Window Syntax Editor
  6. Walaupun SPSS sudah menyediakan berbagai macam pengolahan data statistik secara memadai, namun ada beberapa perintah atau pilihan yang hanya bisa digunakan dengan SPSS Command Language. Perintah-perintah tersebut bisa ditulis pada Menu Syntax Editor. Menu ini berupa file teks yang berisi berbagai perintah SPSS, dan bisa diketik secara manual. Penggunaan window Syntax dijelaskan pada folder TIP TRIK OTOMATISASI PROGRAM SPSS.
  7. Menu Script Editor
  8. Menu Script pada dasarnya digunakan untuk melakukan berbagai pengerjaan SPSS secara otomatis, seperti membuka dan menutup File, ekspor Chart, penyesuaian bentuk output, dan lainnya. Isi menu ini sama dengan menu sebelumnya hanya ditambah dengan submenuScript untuk membuat berbagai subrutin dan fungsi baru, serta submenuDebug untuk melakukan proses debug pada script.

          Financial Analyst w/Managed Care Experience - Up to $75k   
Immediate need for a financial analyst w/managed healthcare experience. Will be responsible for analyzing and or reviewing financial data including revenue, medical expenses, general administrative expenses, commission, payroll and benefits as well as non financial data including membership, bed days and procedures. Perform variance analysis, special medical expense/procedure based reports. Conduct financial audits on medical groups and prepare financial statement and report. Perform accounting functions and handle other responsibilities as assigned. Research accounting and regulatory changes and updates and conduct training to the department. Qualifications: Previous experience working for a managed care organization, BS OR BA IN accounting, finance, mathematics or related field, CPA a must, MBA a plus, Basic level of experience with data mining and extractions, ability to understand mathematical and statistical data analysis, proficient with MS Office, Access, Excel and Word, ability to provide clear communication on analysis and studies, team player with positive and ownership attitude. Great benefits. Apply for this great position as a financial analyst w/managed care experience today! We are an equal employment opportunity employer and will consider all qualified candidates without regard to disability or protected veteran status.
          Data scientist munkakörbe keresünk munkatársat. | Feladatok: Interact with customers to underst...   
Data scientist munkakörbe keresünk munkatársat. | Feladatok: Interact with customers to understand their requirements and identify emerging opportunities. • Take part in high and detailed level solution design to propose solutions and translating them into functional and technical specifications. • Convert large volumes of structured and unstructured data using advanced analytical solutions into actionable insights and business value. • Work independently and provide guidance to less experienced colleagues/employees. • Participate in projects, closely work and collaborate effectively with onsite and offsite teams at different worldwide locations in Hungary/China/US while delivering and implementing solutions. • Continuously follow data scientist trends and related technology evolutions in order to develop knowledge base within team.. | Mit ajánlunk: To be a member of dynamically growing site and enthusiastic team. • Professional challenges and opportunities to work with prestigious multinational companies. • Competitive salary and further career opportunities. | Elvárások: Bachelor?s/Master?s Degree in Computer Science, Math, Applied Statistics or a related field. • At least 3 years of experience in modeling, segmentation, statistical analysis. • Demonstrated experience in Data Mining, Machine Learning, additionally Deep Learning Tensorflow or Natural Language Processing is an advantage. • Strong programming skills using Python, R, SQL and experience in algorithms. • Experience working on big data and related tools Hadoop, Spark • Open to improve his/her skills, competencies and learn new techniques and methodologies. • Strong analytical and problem solving skills to identify and resolve issues proactively • Ability to work and cooperate onsite and offsite teams located in different countries Hungary, China, US and time zones. • Strong verbal and written English communication skills • Ability to handle strict deadlines and multiple tasks. | További infó és jelentkezés itt: www.profession.hu/allas/1033284
          Senior Software Engineer - Microsoft - Redmond, WA   
Knowledge of security, data mining and/or machine learning concepts a plus. Ability to work independently to actively identify and drive solutions for evolving...
From Microsoft - Thu, 29 Jun 2017 22:49:04 GMT - View all Redmond, WA jobs
          Data Analyst   
CA-Irvine, *candidates must have SQL development exp. Data Analyst with SQL Development Full time permanent Irvine, CA The Data Analyst position provides advanced analytical support to the Enterprise Data Warehouse team. The role requires strong technical SQL skills for querying relational databases and providing data to meet the business needs. Responsibilities · Conduct file review, data mining, and use ot
          Researching Mental Health Disorders in the Era of Social Media: Systematic Review   
Background: Mental illness is quickly becoming one of the most prevalent public health problems worldwide. Social network platforms, where users can express their emotions, feelings, and thoughts, are a valuable source of data for researching mental health, and techniques based on machine learning are increasingly used for this purpose. Objective: The objective of this review was to explore the scope and limits of cutting-edge techniques that researchers are using for predictive analytics in mental health and to review associated issues, such as ethical concerns, in this area of research. Methods: We performed a systematic literature review in March 2017, using keywords to search articles on data mining of social network data in the context of common mental health disorders, published between 2010 and March 8, 2017 in medical and computer science journals. Results: The initial search returned a total of 5386 articles. Following a careful analysis of the titles, abstracts, and main texts, we selected 48 articles for review. We coded the articles according to key characteristics, techniques used for data collection, data preprocessing, feature extraction, feature selection, model construction, and model verification. The most common analytical method was text analysis, with several studies using different flavors of image analysis and social interaction graph analysis. Conclusions: Despite an increasing number of studies investigating mental health issues using social network data, some common problems persist. Assembling large, high-quality datasets of social media users with mental disorder is problematic, not only due to biases associated with the collection methods, but also with regard to managing consent and selecting appropriate analytics techniques.
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Irvine, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:26 GMT - View all Irvine, CA jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA jobs
          Data Scientist   
Specializes in data science, analytics and architecture. Strong experience/knowledge on framing and conducting complex analyses and experiments using large volumes of complex (not always well-structured, highly variable) data. Ability to source, scrub, and join varied data sets from public, commercial, and proprietary sources and review relevant academic and industry research to identify useful algorithms, techniques, libraries, etc. Assists in efforts to centralize data collection and develop an analytics platform that drives data science and analytics capabilities. Deep domain experience in Apache Hadoop, data analysis, machine learning and scientific programming. Understands how to integrate multiple systems and data sets. Able to link and mash up distinctive data sets to discover new insights. Designing and developing statistical procedures and algorithms around data sources, recommending and building models for various data studies, data discovery and predictive analytics tasks, implementing any software required for accessing and handling data appropriately, working with developers to integrate and preprocess data for inputs into models and recommending tools and libraries for data science that are appropriate for the project Required Qualifications: 5-10 years of platform software development experience ? 3-5 years of experience with, understanding and knowledge of the Hadoop ecosystem and building analytic jobs in MapReduce, Pig, Hive, etc. ? 5 years of experience in SAS, R, Perl, Python, Java, or other languages appropriate for large scale analysis of numerical and textual data ? Experience developing static and interactive data visualizations. ? Strong knowledge of technical design and architecture principles. ? Creating large scale data processing systems. ? Driving design and code review process. ? Ability to develop and program databases, query databases and perform statistical analysis. ? Working with large scale warehouse and databases, sound knowledge of tuning and query processing. ? Excellent understanding of entire development process, including specification, documentation, quality assurance, debugging practices and source control systems. ? Ability to understand business issues as they impact the software development project. ? Solves complex, critical problems related to significant and unique issues. ? Ability to delve into large data sets to identify useful trends in business and develop methods to leverage that knowledge. ? Strong skills in predictive analytics, conceptual modeling, planning, statistics, visualization capabilities, identification of best data sources, hypothesis testing and data analysis. ? Familiar with disciplines such as natural language processing (the interactions between computers and humans) and machine learning (using computers to improve as well as develop algorithms). ? Writing data extraction, transformation, munging etc. algorithms. ? Developing end-to-end data flow from data consumption, organization and making it available via dashboard and/or APIs. ? Bachelor's degree in software engineering, computer science, information systems or equivalent. ? 5 years of related experience; 10 years of overall experience. ? Ability to perform activities, tasks and responsibilities described in the Position Description above. ? Demonstrated track record of architecting and delivering solutions with enterprise customers. ? Excellent people and communication skills. ? Processing complex, large scale data sets used for modeling, data mining, and research ? Designing and implementing statistical data quality procedures for new data sources ? Understanding the principles of experimental testing and design, including population selection and sampling ? Performing statistical analyses in tools such as SAS, SPSS, R or Weka ? Visualizing and reporting data findings creatively to provide insights to the organization ? Agile Methodology Experience ? Masters Degree or PhD We are an equal employment opportunity employer and will consider all qualified candidates without regard to disability or protected veteran status.
          SQL Database Admin. -   
We are a leading financial firm based out of Costa Mesa,CA. We are currently looking to bring on board an experienced SQL DBA immediately. Looking to interview immediately, apply now to find out more!

Skills:

MS-SQL Development
-Create/Modify Stored Procedures, triggers, views, functions as required
-Report development using SQL Server Reporting Services (SSRS)
-Design and create ETL packages using SSIS and other tools
-Assist with the design and implementation of our data mart/ warehouse initiative-Migrate existing reports from Crystal Reports to SSRS reporting platform

MS-SQL Administration

-Installation, configuration and upgrading SQL server, SSRS, SSIS and related products
-Design and Implement a SQL Server consolidation project
-Work with 3rd party development vendors to design, validate designs and implement new application databases
-Take a proactive approach to maintaining and tuning SQL databases and servers

Responsibilities:
?At least 3-5 years hands-on experience in SQL database development and management on MS SQL 2000, 2005, 2008, and 2012
?Strong experience with T-SQL, DTS, SSIS, Data Mining, OLAP, SSAS, SSRS, Cubes, and MDX
?Performance Tuning and Monitoring
?Hands on experience in developing reports on SSRS.

Looking to interview immediately, apply now! We are an equal employment opportunity employer and will consider all qualified candidates without regard to disability or protected veteran status.
          SQL Database Admin. -   
We are a leading financial firm based out of Costa Mesa,CA. We are currently looking to bring on board an experienced SQL DBA immediately. Looking to interview immediately, apply now to find out more!

Skills:

MS-SQL Development
-Create/Modify Stored Procedures, triggers, views, functions as required
-Report development using SQL Server Reporting Services (SSRS)
-Design and create ETL packages using SSIS and other tools
-Assist with the design and implementation of our data mart/ warehouse initiative-Migrate existing reports from Crystal Reports to SSRS reporting platform

MS-SQL Administration

-Installation, configuration and upgrading SQL server, SSRS, SSIS and related products
-Design and Implement a SQL Server consolidation project
-Work with 3rd party development vendors to design, validate designs and implement new application databases
-Take a proactive approach to maintaining and tuning SQL databases and servers

Responsibilities:
?At least 3-5 years hands-on experience in SQL database development and management on MS SQL 2000, 2005, 2008, and 2012
?Strong experience with T-SQL, DTS, SSIS, Data Mining, OLAP, SSAS, SSRS, Cubes, and MDX
?Performance Tuning and Monitoring
?Hands on experience in developing reports on SSRS.

Looking to interview immediately, apply now! We are an equal employment opportunity employer and will consider all qualified candidates without regard to disability or protected veteran status.
          Senior UI Engineer   
<span>**Please contact me at 415 228 4275 if you have any questions about the opportunity**<br>Modis&rsquo;s client is looking for a Senior UI Engineer. This could be a contract to hire or fulltime opportunity. Client has locations in San Rafael and San Jose.<br>Roles and Responsibilities: This is a unique opportunity to be a key player in an organization that is at the forefront of growing field of Big Data Analytics. You will be responsible for helping to architect, design, implement, and test key user interfaces for our analytic tools in the Analytic Cloud. You will also be engaged at the early stages and have the ability to develop and shape a new architecture. You will also be exposed to and integrate with number of 3rd party, and open source tools and technologies that will provide you with a unique opportunity to grow you skills and have fun while working on a dynamic and close knit team.<br>Working Conditions: You will work with diverse team of very talented developers who take pride in their work, and value their customers. They are driven to see their products succeed in the marketplace and work as a team to accomplish their goals.<br>Required Experience: &nbsp;&nbsp;&nbsp;<br>Education and or Certifications: Bachelors Degree or higher in Computer Science or related discipline.<br>Experience and Qualifications: Experienced Software Engineer with 5+ years of strong professional development experience in Web development with HTML5, CSS, JavaScript, and general Web 2.0 technologies<br>Technical Skills and Abilities: &bull; Experience with JavaScript-based libraries such as ExtJS, JQuery, Bootstrap, Knockout, AngularJS, Backbone.js, YUI, and D3.js<br>&bull; Strong JavaScript and Java problem solving, debugging, and performance tuning skills<br>&bull; Good knowledge of object oriented analysis &amp; design<br>&bull; Strong instincts and background in creating simple, clean and powerful user interfaces.<br>&bull; Experience with Platform as a service (PAAS) environments and API&rsquo;s such as OpenShift and Cloud Foundry a big plus<br>&bull; Experience with web services (SOAP/REST), and SOA is a plus<br>&bull; Background in using statistical analysis/modeling tools such as SAS, SPSS, R, etc. is desirable<br>&bull; Background in using Business Intelligence and Data Mining tools desirable<br>&bull; Background in scripting languages such as Groovy, Python, Perl, or Ruby is a plus<br>&bull; Excellent oral and written communication skills.&bull; Capability to provide technical leadership to the team&bull; Experience with agile development processes and tools desirable<br>&nbsp;<br></span>
          Risk Reporting Manager   
Adecco is the leading provider of recruitment solutions and HR services in the world. Within Canada, Adecco has a network of over 50 branches, servicing thousands of Canadian organizations each day by providing the top talent they need to succeed in today?s competitive market. Adecco employs several thousand candidates in temporary positions daily and provides thousands more with permanent work opportunities annually.

Our client, a corporate and professional organization within the financial services industry is currently looking for a Risk Reporting Manager to join their team on a 4 months contract in downtown Toronto. The Risk Reporting Manager will be accountable for supporting the Balance Sheet Management Group and the Liquidity & Funding Risk Management Group in meeting regulatory and other requirements by providing information as required.

The working hours for this position are standard daytime business hours from Monday to Friday with a pay rate of $40/hour

The Risk Reporting Manager Job responsibilities may include but are not limited to:

• Support the Balance Sheet Management Group and the Liquidity & Funding Risk Management Group in meeting regulatory and other requirements by providing information as required.
• Perform data mining to fulfill information needs of the groups.
• Analyze current processes and prepare documentation.
• Support projects to improve process and system efficiency.

To be considered for the role Risk Reporting Manager, the selected incumbent will meet the following minimum qualifications:

• Undergraduate degree in Finance, Computer Science or Economics
• 6-8 years of experience in a technology role, with 3-5 years experience in a finance environment
• Excellent knowledge of Excel, Access, SQL, VBA, Cognos Impromptu
• Sound understanding of the retail and wholesale product offerings
• Sound understanding of financial market instruments, including derivative products, and pricing
• Solid understanding of interest rate risk and liquidity risk management
• Good knowledge of financial modeling
• Good Knowledge of customer behavior modeling
• Knowledge of QRM an asset
• Experience in working with multiple stakeholders across different organizational groups
• Excellent organizational and analytical skills
• Strong project and process management skills
• Strong change management skills
• Strong technology and information system skills


If you are interested in the Risk Reporting Manager Position in Toronto or other Accounting and Finance opportunities then please apply online at www.adecco.ca.

Please note: We appreciate and carefully consider every application; however, only those who meet the requirements of the position will be contacted for further consideration.
          Business Process Management Global Market, By Navigation Technology & Data Mining, Analysis and Forecast 2022   
(EMAILWIRE.COM, July 01, 2017 ) According to Publisher, the Global Business Process Management (BPM) market is accounted for $5.51 billion in 2015 and is expected to reach $17.96 billion by 2022 growing at a CAGR of 18.4%. The factors that are fueling the market growth include increasing business...
          Enterprise Synthetic Application Monitoring Global Market by Component & Data Mining, Analysis and Forecast 2022   
(EMAILWIRE.COM, July 01, 2017 ) According to Publisher, the Global Enterprise Synthetic Application Monitoring market is accounted for $802.13 million in 2015 and is expected to reach $2,746.37 million by 2022 growing at a CAGR of 19.2%. In the present era of software's and applications, which are...
          ERP Software Global Market by Application, Data Mining, Analysis and Forecast 2022   
(EMAILWIRE.COM, July 01, 2017 ) According to Publisher, the Global ERP Software market is accounted for $28.27 billion in 2015 and is poised to reach $47.26 billion by 2022 growing at a CAGR of 7.6% during the forecast period 2015 to 2022. Some of the key drivers for the market growth include reduced...
          Wireline Services Global Market by Technology, Data Mining, Analysis and Forecast 2022   
(EMAILWIRE.COM, July 01, 2017 ) According to Publisher, the Global Wireline Services market is accounted for $17.35 billion in 2015 and is expected to reach $34.06 billion by 2022 growing at a CAGR of 10.1%. There is constant growth in the oil & gas exploration and production activities for finding...
          E-Learning Global Market by Navigation Technology & Data Mining, Analysis and Forecast 2022   
(EMAILWIRE.COM, July 01, 2017 ) According to Publisher, the Global E-Learning Market is accounted for $165.21 billion in 2015 and is expected to reach $275.10 billion by 2022 growing at a CAGR of 7.5% during the forecast period. The key factors that are favouring the market growth are flexibility...
          Data Visualization Applications Global Market By Navigation Technology & Data Mining, Analysis and Forecast 2022   
(EMAILWIRE.COM, July 01, 2017 ) According to Publisher, the Global Data Visualization Applications Market is accounted for $4.6 million in 2015 and is expected to reach $8.33 million by 2022 growing at a CAGR of 8.78% during the forecast period. Advancements in visualization software, quick growth...
          Software Development Manager - AMZN CAN Fulfillment Svcs, Inc - Vancouver, BC   
Experience with Agile (SCRUM, RUP, XP), OO modeling, web services, UNIX, middleware, database and data mining systems....
From Amazon.com - Wed, 19 Apr 2017 18:28:43 GMT - View all Vancouver, BC jobs
          (USA-OH-Columbus) Customer Operations Specialist   
42409 **DHL Global Forwarding (DGF)** is the world leader in air freight services and one of the leading providers of ocean freight services. Around 30,000 employees work to ensure the transport of all kinds of shipments by air or sea. DGF's logistics solutions span the entire supply chain, from the factory to the shop floor. They also include special transport-related services. We have an exciting opportunity for a **_CUSTOMER OPERATIONS SPECIALIST_** to manage multiple levels of customer interaction and serve as a single point of contact to one of our largest strategic DGF customers with a complex supply chain. This position will be based at the customer location in Columbus, OH. **Key Responsibilities** **:** + Container pool management / forecasting + Develop and maintain a strong business partnership at all levels with external customer + Drive tactical and operational performance, root cause analysis, proactive strategic and tactical DGF Ocean export + Create and present to external customer in scheduled customer facing meetings to discuss performance, opportunities and strategy + Liaise with regional counterparts to develop and coordinate cross-regional development and initiatives to deliver streamlined solutions + Provide focus and support to the ocean freight operations team to drive operational effectiveness. + Provide DGF stations support with visibility to better manage the flow of goods, materials and data between multiple origins and destinations to drive operational inefficiencies through tactical execution aligned with product best practice + Provide country / regional product operations management team for support to drive operational effectiveness and enhancement of network cooperation + Provide regional / global product teams with visibility of any special projects and any operational issues that may impact customer performance + Work closely with global / regional OFR (Ocean Freight) management team to ensure harmonized product roll-out and end-to-end solution delivery (origin & destination) + Work closely with global / regional OFR management team to ensure proper supply/demand planning for seasonal business peaks + Drive collaboration with Customer Solutions and Innovations and other DPDHL business units and external partners to craft solutions to meet customers changing needs and expectations + Support commercial team with strategic projects **Skills / Qualifications** **:** + BA or BS Degree preferred or minimum 2 years experience working in the Intl Ocean Freight industry with proficiency in export documentation + Excellent written, verbal, communication and presentation skills + Excellent interpersonal and customer service skills, ability to establish and maintain strong relationships with all levels of management + Highly organized, reliable, self-driven, and ability to multi-task + Strong analytical, data analysis, data mining, data visuals, and problem solving skills + Exceptional computer skills: MS Office (Excel, Word, PowerPoint), MS Access is a plus **_Our Vision_** **_: The Logistics Company for the World_** **_Our Mission_** **_: Excellence. Simply Delivered._** **_Our Purpose_** **_: We connect people, improving their lives._** **_Our Values_** **_: Respect & Results_** **_Our Goals_** **_: Employer, Provider, and Investment of Choice, Living Responsibility_** **Work Authorization** **:** DHL Global Forwarding will only employ those who are legally authorized to work in the United States. This is not a position for which visa sponsorship will be provided. Individuals who need sponsorship for work authorization, now or in the future, are not eligible for hire for this role. DHL Global Forwarding is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. 'DGFCB1'
          (CHN-Beijing) SENIOR SOFTWARE ENGINEER   
Group: Search Technology Center Asia (STCA)/Search Ads – Campaign Platform Title: Senior Software Engineer Location: Beijing/Suzhou, China Are you interested in being part of a team with more $6B in revenue and growing at more than 20% every quarter over last several quarters? Are you looking for joining a fun and fast paced environment, where software engineers are empowered to innovate, where new features are developed and deployed in a daily shipping fashion? Are you passionate about developing solutions that support large scale services in the cloud that live and breathe on SQL Azure and Azure Storage? Are you excited about designing and building data mining solutions using advanced anomaly detection techniques that react and respond to critical events in almost real time and solve problems hidden within hundreds of terabytes of data? Are you interested in competing with Google advertising platform head to head? BingAds is a rapidly growing business at Microsoft and is considered one of the most important players in the world of Advertising business. This is exciting time to join BingAds where we innovate and rethink our online services. We tackle deep technical challenges to transition our core services and APIs to a highly scalable and performant platform. You will have the opportunity to develop a system that runs on hundreds of azure servers and thousands of commodity servers coordinating to provide reliable storage, retrieval and analysis. We have a very strong focus on customer satisfaction and use data driven metrics to delight our customers and achieve our business goals. We have an opening for strong talent to independently drive significant feature areas and bring our services to the next level of success and close the gap on Google AdWords feature parity. A successful candidate will have: - BS/MS in Computer Science or equivalent industry experience - Solid CS fundamentals, experience in building scalable, secure, high performance products and services - Excellent technical design, problem solving and debugging skills, proven track record in shipping software on time, with high quality - Great experience working with C#, C++, or Java, Cosmos, Azure/SQL/T-SQL is highly desirable - 7+ years of experience as a developer - Great team player and communicator, strong believer in collaboration and teamwork - Prior experience in online search/ads products is a plus Development (engineering)
          (USA-WA-Bellevue) Data Scientist   
Bing’s mission: To deliver the most relevant knowledge to our customers by being more than just a search engine – Bing’s goal is to be the decision engine. Data is critical to achieving that mission. At Bing, we have an enormous wealth of data, ranging from user interaction logs to web documents, from user feedback to system performance data. The Bing Advertiser Sciences Team is hiring extremely talented, highly motivated and productive individuals with expertise in the areas of: Computer Science, Machine Learning, Econometrics, Statistics, Modeling, Simulation and Data Mining. The team develops and applies advanced techniques to turn our petabytes of data into insights; and to drive actions based on those insights. The team works closely with partners across Microsoft’s Online Services Division to enable rigorous, effective, and data-driven decision making. Some example of the challenges we face: •Modeling the dynamics of the paid search market •Understanding Advertiser value, lifecycle, opportunity and marketing objectives •Designing and analyzing the results of large-scale online experiments Prototyping algorithms fundamental to managing and optimizing demand generation activities to support our search marketplace. At Bing, we offer a strong team environment, exciting applied research challenges, and a fun place to work. The work environment empowers you to have a real impact Microsoft’s business, our advertiser partners, and millions of end users. This role is a unique opportunity to work with a world-class, interdisciplinary group of researchers, analysts, and developers. Job Responsibilities include: •Develop and manage and develop analyses and algorithms that generate actionable insights and programs to improve Bing Ads demand generation activities including: increasing both long-term revenue and relevance. •Research and develop solutions for improving profits for Microsoft and returning value to the audience, advertisers and publishers (e.g. Ecosystem health, marketplace performance measurement, advertiser health, outlier detection, etc.). •Specific responsibilities include the following: Work with key business stakeholders to understand the underlying business needs and formulate, communicate and create buy-in for analytics approaches and solutions •Influence stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through story-telling, visualizations, and other influencing tools. •Effective communicate and translate Bing Ads business strategy and goals into discrete, manageable problems with well-defined measurable objectives and outcomes on which the Advertiser Sciences team can execute. •Transform formulated problems into implementations plans for experiments by developing data sources, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results •Contribute to an environment of scientific inquiry which reinforces team standards for analytic rigor that is consistent with the broader Microsoft data sciences community and strives to apply the simplest viable approach for experiments and analysis Qualifications: •A Bachelor’s degree in Data Science, Computer Science, Electrical Engineering, Machine Learning/AI or related fields. •Demonstrated experience in all phases of managing data science engagements including: problem definition, solution formulation and delivering measurable impact. •Experience with online data; experience with online-advertising data strongly preferred. •Knowledge and experience in at least three of the following areas: machine learning, data mining, user modeling, information retrieval (interrogation of log files and very large databases), economic modeling, econometrics, game theory, statistics, data analysis, e-metrics/measurement. •2+ years of experience in at least three of the following areas: machine learning, data mining, user modeling, information retrieval (interrogation of log files and very large databases), economic modeling, econometrics, game theory, statistics, data analysis, or e-metrics/measurement; 4+ years are preferred. •Experience with data analysis and statistical tools (e.g. Python, R, SAS, Matlab or SPSS). •Solid communications skills, both verbal and written. •Hands-on approach to data analysis and a strong focus on quality. •Ability to work independently and collaboratively in an interdisciplinary team environment Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to askstaff@microsoft.com. Data & applied sciences (engineering)
          Software Development Manager - AMZN CAN Fulfillment Svcs, Inc - Vancouver, BC   
Experience with Agile (SCRUM, RUP, XP), OO modeling, web services, UNIX, middleware, database and data mining systems....
From Amazon.com - Wed, 19 Apr 2017 18:28:43 GMT - View all Vancouver, BC jobs
          Senior Manager, Data Engineering - Capital One - Chicago, IL   
Experience delivering business solution written in Java. Data mining, machine learning, statistical modeling tools or underlying algorithms....
From Capital One - Sat, 17 Jun 2017 18:47:28 GMT - View all Chicago, IL jobs
          Agile Software Developer - Subject Matter Expert (ASD-SME) (C) with Security Clearance - Metronome LLC - Springfield, VA   
Expertise with Informatica, Syncsort DMX-h and Ab Initio desired *. Expertise with machine learning, data mining and knowledge discovery desired *....
From ClearanceJobs.com - Sun, 04 Jun 2017 18:11:10 GMT - View all Springfield, VA jobs
          Sr. Java Developer   
NY-Stony Brook, We are a self-sustaining, revenue generating Data Mining Company which is developing unique products which analyze large supply chains to optimize pricing and shipping. Our complex automated data mining applications address the pain point of finding the best prices and wholesale deals among tens of thousands of individual suppliers for product shipments across the U.S. Due to consistent growth and
          Sr. Java Engineer- Artificial Intelligence Software   
NY-Stony Brook, If you are a Sr. or Principal Java Engineer with an interest in Data Mining or Artificial Intelligence, please read on! We are a mature start up company which is comprised of the team which built one of the most widely used AI technologies used by consumers today. We have now developed an artificial intelligence platform which has important implications for every vertical from machine-driven busin
          Sr. Java Engineer- Artificial Intelligence Software   
Head of the Harbor, If you are a Sr. or Principal Java Engineer with an interest in Data Mining or Artificial Intelligence, please read on! We are a mature start up company which is comprised of the team which built one of the most widely used AI technologies used by consumers today. We have now developed an artificial intelligence platform which has important implications for every vertical from machine-driven busin
          Sr. Java Developer   
NY-East Setauket, We are a self-sustaining, revenue generating Data Mining Company which is developing unique products which analyze large supply chains to optimize pricing and shipping. Our complex automated data mining applications address the pain point of finding the best prices and wholesale deals among tens of thousands of individual suppliers for product shipments across the U.S. Due to consistent growth and
          Full Stack Developer - (Boston)   
Job Description https://invicro.recruiterbox.com/jobs/fk0heov Overview: The Full-Stack Software Developer will extend our web-based study management and storage application (iPACS). The iPACS is a platform used by researchers worldwide to provide tools for managing, data mining and reporting on large amounts of medical imaging data. A flexible solution developed for both in-house and external applications, the iPACS is currently installed at more than half of the top 25 pharmaceutical companies.
          M-Commerce Global Market by Product & Data Mining, Analysis and Forecast 2022   
(EMAILWIRE.COM, June 30, 2017 ) The Global M-Commerce market is accounted for $155.9 billion in 2015 and is poised to reach $1,067.1 billion by 2022 growing at a CAGR of 31.6% during the forecast period. The major driving factors for M-Commerce market are escalating adoption of smart devices, improved...
          Pokemon GO Update: Data Miners Acquire Golden Pinap, Golden Nanab   
Data miners have acquired some interesting details in a code in Pokemon GO. Check them out!
          Pokémon Go Candy Boost To Be Released Sometime Soon   

Pokémon Go has recently received the Raids feature and now everyone is wondering what Niantic is preparing for the game. Well, it seems that according to dataminers, the developer plans to release a Candy Boost sometime in the near future. This has been discovered in the latest 0.67.1 data mine report from the Pokémon Go […]

The post Pokémon Go Candy Boost To Be Released Sometime Soon appeared first on Blorge.


          Mapping Early Modern Quiring: Data Mining the Anet Database of Handpress Books. (arXiv:1706.09406v1 [cs.DL])   

Authors: Tom Deneire

This paper documents the methodology used to digitally map early modern quiring patterns through the analysis of a corpus of bibliographic metadata about hand press books from the period 1471-1861. It describes the application of an algorithm that registers the presence of a certain quiring and the ensuing results, mainly relating quiring to chronological (century) and bibliographic factors (format). In conclusion, the interpretation and future analysis of these results for the study of book history is discussed.


          FBStalker and GeoStalker data mining tools can dig into your life   
See on Scoop.it – Information Security once more With the release of new OSINT data-mining tools FBStalker and GeoStalker, Facebook stalkers and social engineers might rejoice…privacy advocates, not so much. See on www.networkworld.com
          (USA-FL-TAMPA) Intern- HR- Payroll   
This six month, part –time engagement internship is open to undergraduate and graduate students. You’ll be given a special assignment for the summer/fall within a human resources team. The responsibilities include providing data governance reporting and auditing for the payroll function. These tasks ensure the accurate calculation of employee compensation, regulatory deductions, and benefit plan costs. Project exposure includes; compensation structure analysis, health and welfare administration, contractual bargaining agreements, and payroll processing. Project areas could include report gathering and analysis, establishing data trends, and partnering with a payroll subject matter expert for review. Ready to explore new horizons in your own development as an HR professional? **Here are a few more details we think you’ll enjoy:** * 6 month summer/fall internship * Interns will be assigned a Coaching Peer and enjoy an open-door policy with your Manager * Networking opportunities with Senior HR Leaders * Assigned projects and opportunities to present your work * Ability to develop reporting enhancements to current framework Requirements **Position Requirements:** * Proficiency in Excel * Data analytics and Data Mining **Required Qualifications:** * If undergraduate level student- rising junior or senior * If graduate level student- 1st year in program) * Preferred Majors: Human Resources, Finance, Industrial Relations, or related fields * Must be authorized to work in the U.S. **Desired Qualifications:** * Desire to work in an operational environment * Effective communicator * Effectively builds relationships/partnerships * Flexibility/adaptability * Self-starter * Drive and Ambition * Proven leadership abilities * Excellent communication, organizational and interpersonal skills We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class. *Location:* TAMPA, FL *EMPLOYMENT TYPE:* Regular Employee FT *EXPERIENCE LEVEL:* None *PRIMARY LOCATION:* FL00 - Tampa- FL *EDUCATION REQUIRED:* High School Diploma/GED *RELOCATION PROVIDED:* Not Eligible
          (USA-FL-Tampa) Business Intelligence Analyst I - Auto Finance - Tampa,FL   
**CAF Customer Experience Business Intelligence Group:** **Business Analyst I** : The Analyst provides strategic and tactical support by identifying, analyzing, and interpreting complex and often diverse data in order to provide actionable reporting information and creative solutions to achieve the goals and objectives of various Chase Automotive Customer Experience businesses we support. More specifically, the Analyst will develop methodologies and reporting to identify and communicate trends regarding operational performance, strategy performance, and portfolio collection/recovery performance. In order to conduct effective analyses, candidates must possess advanced problem solving and reporting technical skills. Prior experience working in or supporting a high volume collections/recovery/loan serving operations and the willingness to learn is important. The ability to effectively communicate findings verbally and in written or presentation format is also necessary. In addition, the Analyst must have the ability to research and resolve issues independently but must possess a team player mentality in order to work effectively in supporting all levels of Management while interfacing with operations and other business divisions (e.g. Legal/Compliance, Risk, Accounting, Finance, Strategy, Quality Assurance, Information Technology, etc.) **Key Responsibilities Include** + Work with business to define reporting requirements and analysis needs to help drive performance or meet various operational needs. + Create reporting and presentations for all levels of management. Need to provide clear, concise and easy to understand graphics that easily depict the information trying to relay. + Develop, test, implement and maintain reporting (regular production and ad-hoc) that enable data driven business decisions. + Represent BI team on projects and business initiatives designed to improve operations. + Interpret results and convey in a concise, straight-forward, and professional manner for all levels of operational staff from supervisors to senior level management. + Assure the integrity of data, through automated extraction, manipulation, processing, analysis and reporting. + Analyze and report data utilizing standard statistical methods/tools. + Partner with Data Infrastructure team and business owners to implement new data sources and ensure consistent definitions are used in reporting and analytics. **Requirements:** + Experience in providing analytic support for loan servicing, customer service, collections, recovery and/or vehicle remarketing operation groups + Experience with querying Telephony data (Auto-dialers, ACD, IVR, Avaya CMS, Aspect UIP), Host system data (ALA, VLS, CALS, Quest, ICAF, RCV1) from their respective data repositories + 2+ years of experience querying Oracle, DB2, Teradata relational databases using SQL via Toad, Ms Access, Rapid SQL, Teradata SQL Assistant, Cognos, Tableau, Business Objects + 2+ years of experience with Oracle development/reporting tools. + Detail oriented individual coupled with the ability to show initiative, good judgment, and resourcefulness. + Demonstrated problem solving skills and working knowledge of statistical methodologies and techniques. + Experience with reporting or Business Intelligence tools and data visualization techniques. + Experience with data mining from large databases using SQL tools or business intelligence platforms. + Proficiency within the Microsoft Office suite – Ms Access, PowerPoint, Excel functions including pivot tables, charts, embedded queries, macros and Visual Basic. + Experienced in converting MS Access Databases into automated solutions using SQL. + Ability to operate in a collaborative and cooperative environment and must possess the strong interpersonal skills necessary to work effectively with colleagues at various levels of the organization. + Must possess the ability to work and research/resolve issues independently while sharing best practices and knowledge with colleagues. + Able to organize/manage multiple priorities and projects coupled with the flexibility to quickly adapt to ever changing business questions and needs. + Solid oral and written communication skills. + Willingness to commit to working extended hours as deadlines require. + Must be customer centric and demonstrate exceptional customer service. + Knowledgeable of Auto Loan collections/recovery and Vehicle Remarketing experience in operational or support capacity preferred JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.
          (USA-FL-Tampa) Decision Science Analyst   
Purpose of Job IMPORTANT: External Applicants – When filling out your name and other personal information below, DO NOT USE ALL CAPS or any special characters. Use only standard letters in the English alphabet. Including special characters or all uppercase letters will cause errors in your application. We are currently seeking talented Decision Science Analyst I (AML) for our Phoenix, AZ or San Antonio, TX facility. The ideal candidate for this position will have experience using mathematical and statistical analysis to assist management in making risk based anti-money laundering decisions related to products, services and customers. This position requires the use of communication skills to convey the results of statistical analysis to various levels of management. Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. Job Requirements * Leverages business/analytical knowledge to participate in discussions with cross-functional teams to understand and collaborate on business objectives and influence solution strategies. The business problems analyzed are typically medium to large scale with impact to current and/or future business strategy. * Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management. Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences. * Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA). Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply. * Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews. Subsequent analysts should be able to rely on documentation to replicate and continue work. * Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. * Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy. Recommendations typically have an impact on business results. *Minimum Requirements* * If Bachelor's degree, 4+ years experience in a decision support analytic function Or If Master's Degree, 2+ years experience in a decision support analytic function Or If PhD, 1+ years experience in a decision support analytic function * Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences or other quantitative discipline. (Four years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required. *8 years total) OR A Master's Degree in quantitative analytics or a related field OR A PhD in quantitative analytics or a related field *Qualifications may warrant placement in a different job level.* When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses. *Preferred* * Experience in categorical data analysis * Experience in analyzing customer, transactional, and financial product data collectively * Ability to provide robust documentation that details full process leading to analytic findings * Experience partnering with IT to deploy results of analysis into production * Financial Services industry experience in machine learning, statistical modeling, optimization or data mining involving large data sets * Proficiency in data visualization and strong programming skills (VBA, SAS, SPSS, SQL, R or Python) * Experience with very large transactional systems or with relational databases such as Oracle, SQL Server *Knowledge/Skills/Attributes* - Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making. - Experience presenting and communicating findings/recommendations to team members. - Advanced knowledge of data analysis tools; - Advanced knowledge in developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software. - Advanced knowledge of relevant industry data & methods and demonstrated ability to connect external insights to business problems. - Demonstrated ability to influence business decisions. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. At USAA our employees enjoy one of the best benefits packages in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals. *Relocation* assistance is *not* *available* for this position. *For Internal Candidates:* Must complete 12 months in current position (from date of hire or date of placement), or must have manager’s approval prior to posting. *Last day for internal candidates* *to apply to the opening is 5/03/17 by 11:59 pm CST time.* *Decision Science Analyst* *FL-Tampa* *R0010013*
          Data Scientist - Data Mining, Analytic Software, Agile   
Little Rock, If you are a Data Scientist with experience, please read on! Located in Little Rock, AR we are one of the largest fashion apparel, cosmetics and home furnishings retailers that focuses on delivering quality customer service to shoppers in over 300 stores nationwide. A growing and strategic focus of our company is Advanced Analytics and Testing, so we are looking for a Data Scientist to join to our
          Data Scientist - Data Mining, Analytic Software, Agile   
AR-Little Rock, If you are a Data Scientist with experience, please read on! Located in Little Rock, AR we are one of the largest fashion apparel, cosmetics and home furnishings retailers that focuses on delivering quality customer service to shoppers in over 300 stores nationwide. A growing and strategic focus of our company is Advanced Analytics and Testing, so we are looking for a Data Scientist to join to our
          Data Engineer with Scala/Spark and Java - Comtech LLC - San Jose, CA   
Job Description Primary Skills: Big Data experience 8+ years exp in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis
From Comtech LLC - Fri, 23 Jun 2017 03:10:08 GMT - View all San Jose, CA jobs
          Comment on Splashing Around With Licenses by Aaron Davis   
I am intrigued on two fronts, why do they want to or need to? I found the recent report produced by Kahoot really interesting, not because what it says about devices and operating systems, but what it says about Kahoot. Why do they need to collect this data? To identify what they should be investing their R&D into? Really not sure. In the end, it is no better than Uber and their data mining IMO. Then again, I could be wrong ?????
          Comment on Splashing Around With Licenses by Aaron Davis   
I am intrigued on two fronts, why do they want to or need to? I found the recent report produced by Kahoot really interesting, not because what it says about devices and operating systems, but what it says about Kahoot. Why do they need to collect this data? To identify what they should be investing their R&D into? Really not sure. In the end, it is no better than Uber and their data mining IMO. Then again, I could be wrong ?????
          (USA-IL-Bloomington) Data Scientist   
This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/ada/r/jobs/5065178 Data Scientist, Bloomington, IL: Develop, interpret, implement, & support several types of statistical modeling & data mining techniques. Analyze needs for analytic information & convert into action items, requests, or projects. Use domain knowledge of business areas & research skills to address a diverse range of real-world business issues & to solve business problems. Develop analytic development databases, strategies, & methodologies to validate model performance following implementation. Must have MS in a quantitative field & 2 yrs work experience performing statistical analysis & data mining in a business environment to solve problems & identify trends. To apply on-line, go to Statefarm.com/careers and apply to req153.
          Colleges use data mining to achieve student advantage   
Spurred on by the problems of high student debt, colleges and universities in the past few years have resorted to data mining to improve academics and college GPA and to increase their graduation rates. Student advantage spikes after schools guide college students toward a degree program that will better help them graduate. We all know […]
          Идеи мягкой вероятности как новый подход к построению теории вероятностей. Гипотезы стохастической устойчивости и вероятность   

Автор: Молодцов Д.А.

Описание: К каким реальным явлениям применима теория вероятностей? Этот вопрос волнует большинство специалистов, использующих теорию вероятностей на практике. Современная аксиоматическая теория вероятностей А.Н. Колмогорова не дает ответа на этот вопрос. В настоящей работе предлагается подход к построению теории вероятностей, который включает указанную проблематику в тело самой теории. В основу подхода положена конструктивная гипотеза об устойчивости частоты на скользящей выборке заданного размера. Рассматриваются три схемы испытаний. Для каждой схемы построены аналоги классических понятий вероятности, математического ожидания и дисперсии. В отличие от классики, где эти понятия описываются действительными числами, предлагаемые новые понятия описываются параметрическими семействами интервалов, которые динамически меняются при получении новой информации о проведенных испытаниях. Кроме этого, введенные понятия имеют дополнительные характеристики точности и надежности, которые также динамически меняются.Основное внимание в настоящей работе уделяется идеям и методологическим вопросам. Некоторые простейшие задачи нашли свое решение, но огромное количество задач как теоретического, так и практического характера, ждет своих исследователей. Было бы очень интересно проверить предлагаемую методику на различных практических задачах. Внимательный читатель заметит, что статистическая устойчивость - это только один тип гипотез, и предлагаемая методология может быть распространена и на другие типы гипотез, описывающих поведение числовой последовательности или последовательности величин с более сложной структурой. По сути, это может быть основой общей методологии для построения и развития data mining.

Цена: 312 руб.

КУПИТЬ


          Offer - IEEE Project center in coimbatore - INDIA   
Nxtlogic provides latest IEEE final year projects to all branches of BE, B.Tech, ME and M.Tech students. IEEE papers are taken from latest journals and we are highly involved in developing the IEEE project with high quality. Domain: Cloud computing, Mobile computing, Data mining, Networking, Network Security, Embedded System, Mechanical and Power System.Our services: Full source code explanation and diagrams, Project implementation, corporate level training, Internship and Placement assistance.Website: www.nxtproject.comAddress: No. 273, Peranaidu Layout, Ram Nagar, Gandhipuram, Coimbatore – 641009Land mark: Opp. Cut of Old PSR silks
          (USA-AL-Mobile) Instructor, CIS   
This job was posted by https://joblink.alabama.gov : For more information, please see: https://joblink.alabama.gov/ada/r/jobs/2228108 Position Announcement Posted Date: June 29, 2017 Closing Date: July 31, 2017 Position: Instructor, Computer and Information Systems Minimum Qualifications: Bachelor Degree with eighteen (18) graduate hours in Computer Science from a regionally accredited college or university required. Master Degree in Computer Science from a regionally accredited college or university preferred. Five (5) years of in field work experience required. A+, Security+, MCSA/E or CISSP certification preferred. Prior teaching experience preferred. Campus: Southwest Campus Required Knowledge, Skills, and Abilities: Ability to handle multiple tasks. Ability to establish and maintain effective working relationships with a diverse student population, other employees, and the public. Hands-on knowledge of computer language programming (C, C++, C#, JAVA, Python). Practical knowledge of programming techniques and compilers. Relational and unstructured database skills as well as data mining, data warehouse, data analytics, and data visualization. Ability to project a professional and congenial demeanor. Excellent oral, auditory, and written communication. Excellent organizational skills. Major Duties and Responsibilities: Provide quality classroom instruction. Inform students concerning course requirements, evaluation procedures, attendance requirements and academic progress. Seek continuous improvement in curriculum, instruction, and resources. Participate fully in the institutional planning process and assists in carrying out the overall instructional mission of the College. Prepare and grade assignments, projects and examinations as required. Assist in registration and pre-registration as needed. Maintain an inventory of assigned equipment and supplies. Serve on College committees when requested. Submit required reports to the Division Chair or Dean of Career Technical Educational. Inform students of educational and occupational opportunities. Provide a proper instructional environment and maintain good human relations in the classroom so that learning is more effective. Participate in faculty and professional organizations. Recommend library books and other instructional materials. Maintain compliance with college and program related accreditation and certification standards. Retain and submit documentation as required to support accreditation efforts. Maintain a craft advisory committee in accordance to the Alabama Community College System (ACCS) Craft Advisory Committee manual. Performs other work related responsibilities as assigned by the Division Chair, Dean of Career Technical Education and/or President. Salary: Salary level will be determined by educational attainment level and years of applicable experience according to the Alabama Community College System Salary Schedule D1. Application Procedure: Position announcements and employment applications are available at www.bishop.edu and by contacting the Office of Human Resources at (251) 405-7052. Application materials may be delivered to the Office of Human Resources, Room 326 of the Yvonne Kennedy Business Technology Center, submitted via U.S. mail to the following address: Office of Human Resources, 351 North Broad Street, Mobile, AL 36603, or emailed to humanresources@bishop.edu. Applications currently on file must be resubmitted for this position. Delinquent and/or unsigned application packets and/or documents will not be accepted. Only complete application packets will be given consideration for employment. A completed application packet consists of: Completed Bishop State Community College employment application (must be signed), Letter of interest with reference to the position announcement, Current resume, Transcripts (official required if hired), and Verification of Wor Experience form for directly related work experience from current and/or previous employers (form included as last page of application) and/or letters from current and/or previous employers verifying directly related work experience (letters must include employment dates and job title, and must be on company letterhead and signed by authorized personnel). Application Deadline: A complete application packet must be received in the Office of Human Resources no later than Monday, July 31, 2017 at 5:00 p.m. In accordance with Alabama Community College System policy and guidelines, the applicant chosen for employment will be required to sign a consent form and to submit a nonrefundable fee of $17.40 (additional charges may apply) for a criminal background check. Employment will be contingent upon receipt of a clearance notification from the criminal background check. Bishop State Community College is an active participant in the Employment Eligibility Verification Program (E-verify). E-verify electronically confirms an employee's eligibility to work in the United States as required by the Department of Homeland Security. Other Information: The Selection Committee will screen all applicants for the position. The Committee will select applicants for in-person interviews which may consist of question/answer sessio
           موضوعات پايان نامه کارشناسي ارشد هوش مصنوعي،نرم افزار،شبکه    
انجام کليه پروژه هاي دانشجوييدرسراسرايران بيش از 20 پروژه برنامه نويسيوپايان نامه پروپوزال هاي دانشجويي از دپارتمان علوم رايانه دانشگاه هاي کلمبيا هندما*****ي آلمان*سوئد*دانمارک *انگلستان *فيليپين *دبي*ترکيه و... دربانک پروژه پايتخت توسط خودگروه نرم افزاري پايتخت انجام پروژه هاي دانشجويي براي دانشجويانايراني داخل وخارجازکشوررشته کامپيوتر Several suggested student programming projects for computer science majors (undergraduate, masters and PhD. students) from the Network Security Lab at Columbi@انجام پايان نامه وپروپوزال هاي دانشجويي مقاطع تحصيلي کارداني کارشناسي کارشناسي ارشددكترا و....دانشگاه هاي داخل و خارج از کشوررشته کامپيوترنرم افزار*معماري کامپيوتر*هوش مصنوعي و فناوري اطلاعات و.........امنيت شبکه* مخابرات امن *تجارت الکترونيک تحت تمامي زبانها برنامه نويسي خدمات مشاوره اي: مشاوره رايگان انتخاب موضوع پايان نامه - انجام تمامي خدمات مربوط به تهيه پيشنهاديه پايان نامه ( proposal ) مشاوره و تدوين پايان نامه هاي مرتبط با رشته هاي فوقالذکرفناوري اطلاعات* کامپيوترو.. ارائه تمامي فصول مربوط به پايان نامه ، مطابق با جدول زمانبنديتوافقي مشاوره و طراحي پرسش نامه و انجام مصاحبه و تجزيه و تحليل اطلاعات استخراجي با استفاده ازنرم افزارهاي مرتبط و در انتها ارائه مقاله اي علمي – پژوهشيبراي ارائه نشريات معتبر داخلي (علمي-پژوهشي) و خارجي (ISI)IEEE*نگارش، تدوين و اديت مقاله هاي isi براي ارسال به ژورنال هاي معتبر با ايمپکت فاکتور بالا رشته فناوري اطلاعات * گرايش تجارت* الکترونيک -*کارشناسي ارشد درمورد نقش erp و سيستم هاي اطلاعاتي و ريسک در هوش تجاري بررسي انواع چالش‌هاي موجود در رايانش ابري و رايانش توري(Cloud computing amp; Grid computing) شامل مباحث امنيت (Security)، ذخيره‌سازي (Storage)، کارايي (Performance)، دسترس‌پذيري (Availability) و مديريت، تخصيص و زمانبندي منابع (Allocation and Scheduling Resources)، توازن بار(Load Balancing). بررسي انواع الگوريتم‌ها در حوزه‌ي داده‌کاوي (Data Mining)؛ طبقه‌بندي(Classification)، خوشه‌بندي(Clustering)، کشف قوانين انجمني(Association Rules)، پيش‌بيني سري‌زماني(Time Series Prediction)، انتخاب ويژ***** (Feature Selection) و استخراج ويژ***** (Feature Extraction)، کاهش بعد(Dimensionality Reduction)، شخصي سازي نتايج موتورهاي جستجو و داده‌کاوي اطلاعات آنها(Search Engine). بررسي انواع الگوريتم‌ها در حوزه‌ي شبکه‌هاي اجتماعي(Social Network)؛ کشف ساختار(structure Detection ) کشف اجتماعات(Community Detection)، تشخيص اسپم(Spam Filter). بررسي انواع تکنولوژي‌هاي ذخيره داده اي، Sql، NoSql، نگاشت کاهش (MapReduce)، هادوپ(Hadoop)، کار با Big Data. بررسي، مقايسه و بهبود انواع الگوريتم‌هاي مکاشفه‌اي، فرا مکاشفه‌اي و چند هدفه مانند الگوريتم ژنتيک(Genetic Algorithm, MOGA, NSGAII)، الگوريتم ازدحام ذرات(PSO, MOPSO)، الگوريتم مورچگان(Ant Colony)، الگوريتم زنبور عسل(Bee clolony)، الگوريتم رقابت استعماري(ICA)، الگوريتم فرهن***** (Cultural Algorithm)، الگوريتم تکامل تفاضلي(DE). بررسي انواع الگوريتم‌هاي پردازش تصوير(IMAGE PROCESSING)؛ تشخيص چهره(Face Recognation)، قطعه‌بندي تصاوير(Image Segmentation)، فشرده‌سازي تصاوير(Image Compression)، نهان‌نگاري تصاوير(Watermarking). بررسي انواع الگوريتم‌هاي ياد*****ر؛ شبکه‌هاي عصبي (ANFIS, ANN)، شبکه‌هاي بيزين(Bayesian Network)، ماشين بردار پشتيبان(SVM). استفاده از نرم‌افزار‌هاي Visual Studio، متلب(Matlab)، وکا(Weka)، رپيدماينر(Rapidminer)، Clementine، کلودسيم(Cloudsim). استفاده از زبان‌هاي Python, Java, C, C#, C++, DBMS, MySql, Sql Server, VB.NET, PHP تدوين پروپوزال، اجراي پايان نامه و طرح هاي پژوهشي و … وبررسي الگوريتمهاي شبکهاي گيريد* داده کاوي (Data Mrining) در زمينه هاي دسته بندي (Classification)، خوشه بندي (Clustering)، پيش بيني (Prediction)، انتخاب ويژگي (Feature Selection) و قواعدانجمني (Association Rules) با*وب سرويس و....الگوريتمlulea*سيستم هاي چندعامله ژنتيك* شبكه عصبي *هوش مصنوعي * شبيه سازي *بهينه سازي *سمينار*–الگوريتم چندهدفه* تكاملي *سيمولينک*بينايي ماشين*فازيکامينز*. Image Processing amp; Machine vision* SIMULINK, cloud storagerو IMAGE PROCESSING و GENETIC ALGORITHM و NEURAL NETWORK*و FUZZY LOGIC Steganalysis Facial expression Face recognition Texture segmentation Image retrieval Image segmentation Color Demosaicing ... Machine Vision: Object tracking( with all kind of methods) for various purposes Multiple Object Tracking Object Tracking with motion blur Blind motion blur deconvolution line based structure from motion Geometrical enhancemen *webrecommendation پروژه هاي محيط سيمولينک (Simulink) پروژه هاي بازشناسي الگو (pattern recognition) پروژه هاي کدنويسي مختلف و پروژه هاي مرتبط با جعبه ابزارهاي: • Aerospace• neural network*• symbolic math*• comminucation*• bioinformatic*• curve fitting*• control system*• econometric• database*• datafeed*• filter design*• image acqusition*• signal processing*• optimization* انجام پروژه هاي حاوي پايگاه داده و پروژه هاي گرافيکي تحت تمامي زبان هاي برنامه نويسي 1 - شبکه هاي عصبي مصنوعي چند لايه پرسپترون2 - شبکه هاي عصبي مصنوعي با تابع پايه شعاعي3 - درختان تصميم *****ري طبقه بندي و رگرسيوني4 - مدل هاي درختي5 - ماشين هاي بردار حامي طبقه بندي و رگرسيوني5 - ماشين هاي بردار حامي طبقه بندي و رگرسيوني6 - سيستم هاي استنباط فازي7 - سيستم هاي استنباط فازي - عصبي8 - سيستم استنباط بيزين با استفاده از نرم افزارهاي: Clementine, SPSS, WEKA, Rapid Miner, Qnet, انجام پروژهاي برنامه نويسي دلفي ، جاوا ، ويژوال بيسيك ،وي بي دانت .وي بي 6*مطلب- پي اچ پي , ، اكسس ، سي شارپ اي اس پي *پارلوگ *پرولوگ *سي *سي پلاس پلاس *مولتيمديابيلدرو....*رديابي *مکانيابي *sar* الگوريتم تطبيقي ياد*****ري براي رتبه بندي : با رويکرد آتاماتاي ياد*****ر * شبکه هاي MANET براي کاربردهاي چند رسانه اي* ياد*****ري تقويتي براي تقسيم بار پردازشي در شبکه توزيع شده با معماري *****ريد* وسايل نقليه اي با قابليت شناسايي حملات Dos *بدافزاردرشبکه عصبي *بدافزارها وشناسايي آنها*c-means*Fuzzy k-means معماري سرويس گزا*داده گرا/*soaسيسستمهاي تشخيص نفوذ*کامپيوتري هاي بيومولکولي *سيگنال هاي الكتريكي بيو مـولـكـولي مرتب سازي شبکه Sorting-Network انجام پروژه هاي تلفن گويا ، برنامه هاي ارتباطي ، پاسخگوي خودکار ، سيستم پيغام *****ر و برنامه نويسي تحت شبکه پروژهاي شبکه حسگرو... دارنده بزرگترين بانک سورس هاي آماده به تمامي زبانهاي برنامه نويسي ( انجام شده توسط خود گروه ) پايتخت مقاله هاي جديدومعتبرباشبيه سازي *2015*2014*2013*2012*2011*2010 پروژه خودرامتخصانشان ارائه دهيدنه به موسسات انجام پروژه چون هم نمي دانند شما چه مي خواهيدوهم هزينه براي خوددريافت مي کنند درست وبا اطمينان انتخاب کنيد همراه مستندات و توضيحات کامل ، و خط به خط دستورات و نيز نحوه ساخت و چگونگي اجراي پروژه ها، بهمراه دايکيومنت (Document) تايپ شده و آماده براي صحافي بهمراه پشتيباني بعد از تحويل پروژه بعد ازتحقيق بررسي ازچند مورد تماس با ما درمورد کلاه برداري با استفاده ازاسم گروه پايتخت تحقيق وبررسي ما آغازگرديدپس ازجستجو دراينترنت متوجه شديم اشخاصي ديگري با استفاده نام اعتبارگروه نرم افزاري پايتخت اقدام به کلاه برداري و سوه استفاده ازطريق آگهي هاي همانندآگهي هاي گروه پايتخت نموده اند بدين وسيله گروه نرم افزاري پايتخت اعلام مي داردکه اين اشخاص به هيچ عنوان جزوه گروه ما نمي باشندوتنها تلفن پاسخ گو ازطريق گروه نرم افزاري پايتخت به شماره 09191022908مهندس خسروي مي باشد www.pcporoje.com 09191022908 خسروي گروه نرم افزاري پايتخت هيچ گونه مسئوليتي را جهت بي دقتي کاربران وسوه استفاده هاي احتمالي ازآنها نمي پذيرد انجام پروژه هاي برنامه نويسي دانشجوئي براي دروس دانشگاهي : * مباني کامپيوتر * برنامه سازي پيشرفته * سيستم هاي تجاري * ساختمان داده * طراحي الگوريتم * ذخيره و بازيابي اطلاعات * نظريه زبانها و ماشين ها * هوش مصنوعي * کامپايلر * ريزپردازنده,vhdl,z80,…IVR ، 8051 * شبکه هاي کامپيوتري * گرافيک کامپيوتري * مهندسي نرم افزار * پايگاه داده *كارآفريني *كارآموزي *مباحث ويژه *معماري کامپيوتر * سيستم عاملپيشرفته *ياد*****ري ماشين *پردازش موازي *روش تحقيق *سمينار *پردازش سيگنال *پردازش صوت *شبيه سازي وبهينه سازي * آزمايشگاه هاي (سيستم عامل ، ريزپردازنده ، مدار منطقي ، پايگاه داده) ليست زبانهاي برنامه نويسي تخصصي ما به شرح زير مي باشد: Database: SQLServer Access php Html Java J2EE J2me Assembly Matlab برنامه نويسيموبايل NET. تحت (Pocket PC) XML, AJAX, JavaScript) Oracle Ns2 Opnet ……, همراه :09191022908 خسروي ليست پروژه هاي آماده تحت تمامي زبانهاي برنامه نويسي سيستم آرشيو اطلاعات پروژه هاي دانشجويي سفارش پروزه ازدانشگاه انگلستان يک نانوايي مي خواهد سيستم توزيع خودش را بهينه کند سفارش پروژه ازدانشگاه انگلستان نرم افزارارسال اس ام اس وايميل سفارش پروزه ازدانشگاه ترکيه شبيه سازي ميل سرورياهو سفارش پروزه ازدانشگاه آلمان سيستم ام ارپي سفارش پروزه ازدانشگاه هند فروشگاه اينترنتي سفارش پروزه ازدانشگاه ما*****ي کتابخانه صوتي براي لينوکس سفارش پروزه ازدانشگاه مجارستان پياده سازي همکار به همکار شبکه سفارش پروژه ازدانشگاه دبي الگوريتم fcfs سفارش پروژه ازدانشگاه فيليپين دانلودرايگان پروژه هاي دانشجويي دارنده بزرگترين بانک سورس هاي آماده به تمامي زبانهاي برنامه نويسي ( انجام شده توسط خود گروه ) پايتخت درضمن برخي ازاين پروژهاهم تحت ويندوزدرآرشيوموجوداست وهم تحت وب برنامه اسباب بازي فروشي*حملات سياه چالانه AODV *مقاله هاي جديد ومعتبرباشبيه سازي 2015*2014*20113*2012*2011 *ارسال مقاله وسمينار*نويز*****ري تصوير* کاربردسيستمهايچندعاملهدريادگيريالکترونيک*وب معنايي وابزارهاي ان * تشخيص چهره روي تصوير و ويديو*حذف اثر حرکت از روي تصاوير*تخمين قدرت سيگنال در شبکه مخابراتي بي سيم و تعيين مکان بهينه براي فزستنده ها *بررسي و شبيه سازي مدل سينوسي سيگنال صحبت * بررسي و مقايسه سيستمهاي عامل بلادرنگ*بررسي پروتکل SRM در شبيه ساز NS-2*بررسي روشهاي کد کردن بردارهاي جابجايي در فشرده سازي سيگنالهاي ويد يويي*طراحي و ساخت اجزاء تکرار کننده GSM*پياده سازي کدينگ کانال Reed-Solomon بر روي سيگنال ويديو بي سيم*شناسايي چهره انسان در تصاوير رن******نهان نگاري تصاوير ديجيتال در حوزه ويولت* سيستمهاي ارسال ديجيتال صوت*جداسازي سيگنالهاي صوتي مخلوط شده به روش BSS* مطالعه و بررسي امضاء هاي ديجيتال*بررسي و شبيه سازي چيدمان بهينه ادوات شبکه هاي بدون سيم*بررسي الگوريتمهاي نهان نگاري تصوير و پياده سازي آنها*سيستم اتاق عمل *بررسي روشهاي مختلف حذف نويز در سيگنالهاي ديجيتال*تحليل روشهاي فضا- زمان در سيستمهاي مخابرات بي سيم*نهان نگاري صوتي*نهان نگاري تصاوير ديجيتال با استفاده از تبديل موجک *روشهاي تکراري براي جبران اعوجاج ناشي از درونيابي *MAC جهت دار در شبکه هاي بي سيم ad hoc * Taxonomy and Survey of Cloud Computing Systemscloud *storager*محاسبات ابري opnetشبيه سازي شبکه با استفاده از WIP** روشهاي حفاظت از اطلاعات در فرآيند انتقال و دريافت مقايسه بانك هاي اطلاعاتي اسكيوال واوراكل * امنيت ATM- پايگاه داده توزيع شده سيستم مرسولات پستي اداره پست به کمک معماري سرويس گرا و تکنيک model_driven engineering شبيه سازي ns2 *تشخيص چهره انسان به روش تحليل تفکيکي خطي دو بعدي( 2D-LDA به همراه مقاله *تشخيص حرکت از طريق ورودي دوربين يا وبکم* تشخيص کارکتر و عدد در تصوير OCR* تشخيص عدد فارسي در تصوير (به همراه آموزش فارسي)* تشخيص حروف فارسي در تصوير به روش تطبيق الگو* تشخيص حروف فارسي در تصوير به روش شبکه عصبي* شبيه سازي مدولاسيون پالسهاي كدشده PCM* شبيه سازي و بررسي انواع اتصال کوتاه در ژنراتور* شبيه سازي ورقه کردن ف****** شبيه سازي بازوي ربات (به همراه مقاله)* ترميم تصوير Image *طراحي مدارهاي *ابرکامپيوترها*داده هاي با حجم بسياربالا inpainting* ترميم ويدئو Video inpainting** برنامه تشخيص بارکد (پردازش تصوير) اتحاديهخريدكارمندانوخريدكالاهايمشابهبهافراد*بررسي مکانيزم احرازهويت *fcfs*الگوريتم کاهش نويز در تصويرNoise Canceling*بررسي کليه توابع توزيع در متلبDistributions functions* پياده سازي روش گوشه شمال غربي *North-West Corner Method* برنامه تبديل اتوماتيک کد فرترن به متلب بهينه سازي تنش در تراس *پنهان‌نگاريتصاوير يا Steganography با متلب*• بدست آوردن پروفايل دما در سطح مقطع steak در زمان هاي مختلف بعد از قرار گرفتن در ظرف روغن شبيه سازي راکتور batch (ناپيوسته) و رسم نمودار غلظت ها* يكسوساز سه فاز تريستوري با *پروژه ياد*****ري ماشين يا تشخيص جنسيت زن مرد *machine learning**• تشخيص لبه تصوير توسط الگوريتم کلوني مورچه ها ACO (به همراه مقاله) پردازشتصويرWavelet بهبود مدل کاربر در وب¬سايت بصورت خودکار با استفاده ازمعناشناسي با مفاهيم خاص دامنه*پروژه هاي مهندسي معكوس *طراحي سايت b2b تشخيص هويت افراد با استفاد شناساي كف دست *نظرسنجي *الگوريتم پنتيک چندهدفه * • محاسبه جريان درون لوله و عدد رينولدز به کمک روابط سوامي و جين و دارسي-ويسباخ • شبيه سازي کنترل مقاوم عصب* تحليگرلغوي*چندضلعي *جدول متقاطع * فرستادن ايميل *شبيه سازي پروتکل مسيريابي شبکه حسگر بي سيم باآپ نت پروژه هاي تشخيص هويت :عنبه *اثرانگشت *تشخيص چهره به چهره *كف دست * الگوريتم هاي خوشه بندي در شبکه هاي حسگر موبايلعنوان* امضاي ديجيتال**امنيت اطلاعات * بررسي امنيت شبکه در مقوله پدافند غير عامل * بيومتريک (Biometric)*الگوريتم زنبورعسل *دنباله کاوي *شناسايي خط *شناسايي صورت *بينايي ماشين*هوش مصنوعي دربازي *وب معنايي*آنتولوژي *فشرده سازي تصوير*پردازش صوت * امنيت درپايگاه توزيع شده*فايل هاي ويرانگر - - - سيستم فروش و صورتحساب- سيستم حضورغياب با اثر انگشت - سيستم صندوق رستوراني و فروشگاهي با سخت افزار و نرم افزار POS گروه مهندسي پايتخت - انجام پروژه هاي دانشجويي شما با قيمتي مناسب پذيرش سفارش پروژه داخل وخارج ازکشور هرگونه کپي برداري ازآگهي غيرمجازمي باشد جهت سفارش پروژه تماس ب*****ريد ازديگرپروژهاي ماديدبفرماييد www.pcporoje.com http://tezcomputer.com http://tezcomputercom.blogfa.com مهندس خسروي 09191022908 جهت سفارش پروژه يا نياز به هرگونه اطلاع رساني فقط با ايميل زير با مادر تماس باشيد infoporoje.net@gmail.com
           پايان نامه کامپيوتري کارشناسي ارشد نوشتن پروپزال و سمينار    
انجام کليه پروژه هاي دانشجوييدرسراسرايران بيش از 20 پروژه برنامه نويسيوپايان نامه پروپوزال هاي دانشجويي از دپارتمان علوم رايانه دانشگاه هاي کلمبيا هندما*****ي آلمان*سوئد*دانمارک *انگلستان *فيليپين *دبي*ترکيه و... دربانک پروژه پايتخت توسط خودگروه نرم افزاري پايتخت انجام پروژه هاي دانشجويي براي دانشجويانايراني داخل وخارجازکشوررشته کامپيوتر Several suggested student programming projects for computer science majors (undergraduate, masters and PhD. students) from the Network Security Lab at Columbi@انجام پايان نامه وپروپوزال هاي دانشجويي مقاطع تحصيلي کارداني کارشناسي کارشناسي ارشددكترا و....دانشگاه هاي داخل و خارج از کشوررشته کامپيوترنرم افزار*معماري کامپيوتر*هوش مصنوعي و فناوري اطلاعات و.........امنيت شبکه* مخابرات امن *تجارت الکترونيک تحت تمامي زبانها برنامه نويسي خدمات مشاوره اي: مشاوره رايگان انتخاب موضوع پايان نامه - انجام تمامي خدمات مربوط به تهيه پيشنهاديه پايان نامه ( proposal ) مشاوره و تدوين پايان نامه هاي مرتبط با رشته هاي فوقالذکرفناوري اطلاعات* کامپيوترو.. ارائه تمامي فصول مربوط به پايان نامه ، مطابق با جدول زمانبنديتوافقي مشاوره و طراحي پرسش نامه و انجام مصاحبه و تجزيه و تحليل اطلاعات استخراجي با استفاده ازنرم افزارهاي مرتبط و در انتها ارائه مقاله اي علمي – پژوهشيبراي ارائه نشريات معتبر داخلي (علمي-پژوهشي) و خارجي (ISI)IEEE*نگارش، تدوين و اديت مقاله هاي isi براي ارسال به ژورنال هاي معتبر با ايمپکت فاکتور بالا رشته فناوري اطلاعات * گرايش تجارت* الکترونيک -*کارشناسي ارشد درمورد نقش erp و سيستم هاي اطلاعاتي و ريسک در هوش تجاري بررسي انواع چالش‌هاي موجود در رايانش ابري و رايانش توري(Cloud computing amp; Grid computing) شامل مباحث امنيت (Security)، ذخيره‌سازي (Storage)، کارايي (Performance)، دسترس‌پذيري (Availability) و مديريت، تخصيص و زمانبندي منابع (Allocation and Scheduling Resources)، توازن بار(Load Balancing). بررسي انواع الگوريتم‌ها در حوزه‌ي داده‌کاوي (Data Mining)؛ طبقه‌بندي(Classification)، خوشه‌بندي(Clustering)، کشف قوانين انجمني(Association Rules)، پيش‌بيني سري‌زماني(Time Series Prediction)، انتخاب ويژ***** (Feature Selection) و استخراج ويژ***** (Feature Extraction)، کاهش بعد(Dimensionality Reduction)، شخصي سازي نتايج موتورهاي جستجو و داده‌کاوي اطلاعات آنها(Search Engine). بررسي انواع الگوريتم‌ها در حوزه‌ي شبکه‌هاي اجتماعي(Social Network)؛ کشف ساختار(structure Detection ) کشف اجتماعات(Community Detection)، تشخيص اسپم(Spam Filter). بررسي انواع تکنولوژي‌هاي ذخيره داده اي، Sql، NoSql، نگاشت کاهش (MapReduce)، هادوپ(Hadoop)، کار با Big Data. بررسي، مقايسه و بهبود انواع الگوريتم‌هاي مکاشفه‌اي، فرا مکاشفه‌اي و چند هدفه مانند الگوريتم ژنتيک(Genetic Algorithm, MOGA, NSGAII)، الگوريتم ازدحام ذرات(PSO, MOPSO)، الگوريتم مورچگان(Ant Colony)، الگوريتم زنبور عسل(Bee clolony)، الگوريتم رقابت استعماري(ICA)، الگوريتم فرهن***** (Cultural Algorithm)، الگوريتم تکامل تفاضلي(DE). بررسي انواع الگوريتم‌هاي پردازش تصوير(IMAGE PROCESSING)؛ تشخيص چهره(Face Recognation)، قطعه‌بندي تصاوير(Image Segmentation)، فشرده‌سازي تصاوير(Image Compression)، نهان‌نگاري تصاوير(Watermarking). بررسي انواع الگوريتم‌هاي ياد*****ر؛ شبکه‌هاي عصبي (ANFIS, ANN)، شبکه‌هاي بيزين(Bayesian Network)، ماشين بردار پشتيبان(SVM). استفاده از نرم‌افزار‌هاي Visual Studio، متلب(Matlab)، وکا(Weka)، رپيدماينر(Rapidminer)، Clementine، کلودسيم(Cloudsim). استفاده از زبان‌هاي Python, Java, C, C#, C++, DBMS, MySql, Sql Server, VB.NET, PHP تدوين پروپوزال، اجراي پايان نامه و طرح هاي پژوهشي و … وبررسي الگوريتمهاي شبکهاي گيريد* داده کاوي (Data Mrining) در زمينه هاي دسته بندي (Classification)، خوشه بندي (Clustering)، پيش بيني (Prediction)، انتخاب ويژگي (Feature Selection) و قواعدانجمني (Association Rules) با*وب سرويس و....الگوريتمlulea*سيستم هاي چندعامله ژنتيك* شبكه عصبي *هوش مصنوعي * شبيه سازي *بهينه سازي *سمينار*–الگوريتم چندهدفه* تكاملي *سيمولينک*بينايي ماشين*فازيکامينز*. Image Processing amp; Machine vision* SIMULINK, cloud storagerو IMAGE PROCESSING و GENETIC ALGORITHM و NEURAL NETWORK*و FUZZY LOGIC Steganalysis Facial expression Face recognition Texture segmentation Image retrieval Image segmentation Color Demosaicing ... Machine Vision: Object tracking( with all kind of methods) for various purposes Multiple Object Tracking Object Tracking with motion blur Blind motion blur deconvolution line based structure from motion Geometrical enhancemen *webrecommendation پروژه هاي محيط سيمولينک (Simulink) پروژه هاي بازشناسي الگو (pattern recognition) پروژه هاي کدنويسي مختلف و پروژه هاي مرتبط با جعبه ابزارهاي: • Aerospace• neural network*• symbolic math*• comminucation*• bioinformatic*• curve fitting*• control system*• econometric• database*• datafeed*• filter design*• image acqusition*• signal processing*• optimization* انجام پروژه هاي حاوي پايگاه داده و پروژه هاي گرافيکي تحت تمامي زبان هاي برنامه نويسي 1 - شبکه هاي عصبي مصنوعي چند لايه پرسپترون2 - شبکه هاي عصبي مصنوعي با تابع پايه شعاعي3 - درختان تصميم *****ري طبقه بندي و رگرسيوني4 - مدل هاي درختي5 - ماشين هاي بردار حامي طبقه بندي و رگرسيوني5 - ماشين هاي بردار حامي طبقه بندي و رگرسيوني6 - سيستم هاي استنباط فازي7 - سيستم هاي استنباط فازي - عصبي8 - سيستم استنباط بيزين با استفاده از نرم افزارهاي: Clementine, SPSS, WEKA, Rapid Miner, Qnet, انجام پروژهاي برنامه نويسي دلفي ، جاوا ، ويژوال بيسيك ،وي بي دانت .وي بي 6*مطلب- پي اچ پي , ، اكسس ، سي شارپ اي اس پي *پارلوگ *پرولوگ *سي *سي پلاس پلاس *مولتيمديابيلدرو....*رديابي *مکانيابي *sar* الگوريتم تطبيقي ياد*****ري براي رتبه بندي : با رويکرد آتاماتاي ياد*****ر * شبکه هاي MANET براي کاربردهاي چند رسانه اي* ياد*****ري تقويتي براي تقسيم بار پردازشي در شبکه توزيع شده با معماري *****ريد* وسايل نقليه اي با قابليت شناسايي حملات Dos *بدافزاردرشبکه عصبي *بدافزارها وشناسايي آنها*c-means*Fuzzy k-means معماري سرويس گزا*داده گرا/*soaسيسستمهاي تشخيص نفوذ*کامپيوتري هاي بيومولکولي *سيگنال هاي الكتريكي بيو مـولـكـولي مرتب سازي شبکه Sorting-Network انجام پروژه هاي تلفن گويا ، برنامه هاي ارتباطي ، پاسخگوي خودکار ، سيستم پيغام *****ر و برنامه نويسي تحت شبکه پروژهاي شبکه حسگرو... دارنده بزرگترين بانک سورس هاي آماده به تمامي زبانهاي برنامه نويسي ( انجام شده توسط خود گروه ) پايتخت مقاله هاي جديدومعتبرباشبيه سازي *2015*2014*2013*2012*2011*2010 پروژه خودرامتخصانشان ارائه دهيدنه به موسسات انجام پروژه چون هم نمي دانند شما چه مي خواهيدوهم هزينه براي خوددريافت مي کنند درست وبا اطمينان انتخاب کنيد همراه مستندات و توضيحات کامل ، و خط به خط دستورات و نيز نحوه ساخت و چگونگي اجراي پروژه ها، بهمراه دايکيومنت (Document) تايپ شده و آماده براي صحافي بهمراه پشتيباني بعد از تحويل پروژه بعد ازتحقيق بررسي ازچند مورد تماس با ما درمورد کلاه برداري با استفاده ازاسم گروه پايتخت تحقيق وبررسي ما آغازگرديدپس ازجستجو دراينترنت متوجه شديم اشخاصي ديگري با استفاده نام اعتبارگروه نرم افزاري پايتخت اقدام به کلاه برداري و سوه استفاده ازطريق آگهي هاي همانندآگهي هاي گروه پايتخت نموده اند بدين وسيله گروه نرم افزاري پايتخت اعلام مي داردکه اين اشخاص به هيچ عنوان جزوه گروه ما نمي باشندوتنها تلفن پاسخ گو ازطريق گروه نرم افزاري پايتخت به شماره 09191022908مهندس خسروي مي باشد www.pcporoje.com 09191022908 خسروي گروه نرم افزاري پايتخت هيچ گونه مسئوليتي را جهت بي دقتي کاربران وسوه استفاده هاي احتمالي ازآنها نمي پذيرد انجام پروژه هاي برنامه نويسي دانشجوئي براي دروس دانشگاهي : * مباني کامپيوتر * برنامه سازي پيشرفته * سيستم هاي تجاري * ساختمان داده * طراحي الگوريتم * ذخيره و بازيابي اطلاعات * نظريه زبانها و ماشين ها * هوش مصنوعي * کامپايلر * ريزپردازنده,vhdl,z80,…IVR ، 8051 * شبکه هاي کامپيوتري * گرافيک کامپيوتري * مهندسي نرم افزار * پايگاه داده *كارآفريني *كارآموزي *مباحث ويژه *معماري کامپيوتر * سيستم عاملپيشرفته *ياد*****ري ماشين *پردازش موازي *روش تحقيق *سمينار *پردازش سيگنال *پردازش صوت *شبيه سازي وبهينه سازي * آزمايشگاه هاي (سيستم عامل ، ريزپردازنده ، مدار منطقي ، پايگاه داده) ليست زبانهاي برنامه نويسي تخصصي ما به شرح زير مي باشد: Database: SQLServer Access php Html Java J2EE J2me Assembly Matlab برنامه نويسيموبايل NET. تحت (Pocket PC) XML, AJAX, JavaScript) Oracle Ns2 Opnet ……, همراه :09191022908 خسروي ليست پروژه هاي آماده تحت تمامي زبانهاي برنامه نويسي سيستم آرشيو اطلاعات پروژه هاي دانشجويي سفارش پروزه ازدانشگاه انگلستان يک نانوايي مي خواهد سيستم توزيع خودش را بهينه کند سفارش پروژه ازدانشگاه انگلستان نرم افزارارسال اس ام اس وايميل سفارش پروزه ازدانشگاه ترکيه شبيه سازي ميل سرورياهو سفارش پروزه ازدانشگاه آلمان سيستم ام ارپي سفارش پروزه ازدانشگاه هند فروشگاه اينترنتي سفارش پروزه ازدانشگاه ما*****ي کتابخانه صوتي براي لينوکس سفارش پروزه ازدانشگاه مجارستان پياده سازي همکار به همکار شبکه سفارش پروژه ازدانشگاه دبي الگوريتم fcfs سفارش پروژه ازدانشگاه فيليپين دانلودرايگان پروژه هاي دانشجويي دارنده بزرگترين بانک سورس هاي آماده به تمامي زبانهاي برنامه نويسي ( انجام شده توسط خود گروه ) پايتخت درضمن برخي ازاين پروژهاهم تحت ويندوزدرآرشيوموجوداست وهم تحت وب برنامه اسباب بازي فروشي*حملات سياه چالانه AODV *مقاله هاي جديد ومعتبرباشبيه سازي 2015*2014*20113*2012*2011 *ارسال مقاله وسمينار*نويز*****ري تصوير* کاربردسيستمهايچندعاملهدريادگيريالکترونيک*وب معنايي وابزارهاي ان * تشخيص چهره روي تصوير و ويديو*حذف اثر حرکت از روي تصاوير*تخمين قدرت سيگنال در شبکه مخابراتي بي سيم و تعيين مکان بهينه براي فزستنده ها *بررسي و شبيه سازي مدل سينوسي سيگنال صحبت * بررسي و مقايسه سيستمهاي عامل بلادرنگ*بررسي پروتکل SRM در شبيه ساز NS-2*بررسي روشهاي کد کردن بردارهاي جابجايي در فشرده سازي سيگنالهاي ويد يويي*طراحي و ساخت اجزاء تکرار کننده GSM*پياده سازي کدينگ کانال Reed-Solomon بر روي سيگنال ويديو بي سيم*شناسايي چهره انسان در تصاوير رن******نهان نگاري تصاوير ديجيتال در حوزه ويولت* سيستمهاي ارسال ديجيتال صوت*جداسازي سيگنالهاي صوتي مخلوط شده به روش BSS* مطالعه و بررسي امضاء هاي ديجيتال*بررسي و شبيه سازي چيدمان بهينه ادوات شبکه هاي بدون سيم*بررسي الگوريتمهاي نهان نگاري تصوير و پياده سازي آنها*سيستم اتاق عمل *بررسي روشهاي مختلف حذف نويز در سيگنالهاي ديجيتال*تحليل روشهاي فضا- زمان در سيستمهاي مخابرات بي سيم*نهان نگاري صوتي*نهان نگاري تصاوير ديجيتال با استفاده از تبديل موجک *روشهاي تکراري براي جبران اعوجاج ناشي از درونيابي *MAC جهت دار در شبکه هاي بي سيم ad hoc * Taxonomy and Survey of Cloud Computing Systemscloud *storager*محاسبات ابري opnetشبيه سازي شبکه با استفاده از WIP** روشهاي حفاظت از اطلاعات در فرآيند انتقال و دريافت مقايسه بانك هاي اطلاعاتي اسكيوال واوراكل * امنيت ATM- پايگاه داده توزيع شده سيستم مرسولات پستي اداره پست به کمک معماري سرويس گرا و تکنيک model_driven engineering شبيه سازي ns2 *تشخيص چهره انسان به روش تحليل تفکيکي خطي دو بعدي( 2D-LDA به همراه مقاله *تشخيص حرکت از طريق ورودي دوربين يا وبکم* تشخيص کارکتر و عدد در تصوير OCR* تشخيص عدد فارسي در تصوير (به همراه آموزش فارسي)* تشخيص حروف فارسي در تصوير به روش تطبيق الگو* تشخيص حروف فارسي در تصوير به روش شبکه عصبي* شبيه سازي مدولاسيون پالسهاي كدشده PCM* شبيه سازي و بررسي انواع اتصال کوتاه در ژنراتور* شبيه سازي ورقه کردن ف****** شبيه سازي بازوي ربات (به همراه مقاله)* ترميم تصوير Image *طراحي مدارهاي *ابرکامپيوترها*داده هاي با حجم بسياربالا inpainting* ترميم ويدئو Video inpainting** برنامه تشخيص بارکد (پردازش تصوير) اتحاديهخريدكارمندانوخريدكالاهايمشابهبهافراد*بررسي مکانيزم احرازهويت *fcfs*الگوريتم کاهش نويز در تصويرNoise Canceling*بررسي کليه توابع توزيع در متلبDistributions functions* پياده سازي روش گوشه شمال غربي *North-West Corner Method* برنامه تبديل اتوماتيک کد فرترن به متلب بهينه سازي تنش در تراس *پنهان‌نگاريتصاوير يا Steganography با متلب*• بدست آوردن پروفايل دما در سطح مقطع steak در زمان هاي مختلف بعد از قرار گرفتن در ظرف روغن شبيه سازي راکتور batch (ناپيوسته) و رسم نمودار غلظت ها* يكسوساز سه فاز تريستوري با *پروژه ياد*****ري ماشين يا تشخيص جنسيت زن مرد *machine learning**• تشخيص لبه تصوير توسط الگوريتم کلوني مورچه ها ACO (به همراه مقاله) پردازشتصويرWavelet بهبود مدل کاربر در وب¬سايت بصورت خودکار با استفاده ازمعناشناسي با مفاهيم خاص دامنه*پروژه هاي مهندسي معكوس *طراحي سايت b2b تشخيص هويت افراد با استفاد شناساي كف دست *نظرسنجي *الگوريتم پنتيک چندهدفه * • محاسبه جريان درون لوله و عدد رينولدز به کمک روابط سوامي و جين و دارسي-ويسباخ • شبيه سازي کنترل مقاوم عصب* تحليگرلغوي*چندضلعي *جدول متقاطع * فرستادن ايميل *شبيه سازي پروتکل مسيريابي شبکه حسگر بي سيم باآپ نت پروژه هاي تشخيص هويت :عنبه *اثرانگشت *تشخيص چهره به چهره *كف دست * الگوريتم هاي خوشه بندي در شبکه هاي حسگر موبايلعنوان* امضاي ديجيتال**امنيت اطلاعات * بررسي امنيت شبکه در مقوله پدافند غير عامل * بيومتريک (Biometric)*الگوريتم زنبورعسل *دنباله کاوي *شناسايي خط *شناسايي صورت *بينايي ماشين*هوش مصنوعي دربازي *وب معنايي*آنتولوژي *فشرده سازي تصوير*پردازش صوت * امنيت درپايگاه توزيع شده*فايل هاي ويرانگر - - - سيستم فروش و صورتحساب- سيستم حضورغياب با اثر انگشت - سيستم صندوق رستوراني و فروشگاهي با سخت افزار و نرم افزار POS گروه مهندسي پايتخت - انجام پروژه هاي دانشجويي شما با قيمتي مناسب پذيرش سفارش پروژه داخل وخارج ازکشور هرگونه کپي برداري ازآگهي غيرمجازمي باشد جهت سفارش پروژه تماس ب*****ريد ازديگرپروژهاي ماديدبفرماييد www.pcporoje.com http://tezcomputer.com http://tezcomputercom.blogfa.com مهندس خسروي 09191022908 جهت سفارش پروژه يا نياز به هرگونه اطلاع رساني فقط با ايميل زير با مادر تماس باشيد infoporoje.net@gmail.com
           انجام پايان نامه کارشناسي ارشد درمتلب matlab    
انجام کليه پروژه هاي دانشجوييدرسراسرايران بيش از 20 پروژه برنامه نويسيوپايان نامه پروپوزال هاي دانشجويي از دپارتمان علوم رايانه دانشگاه هاي کلمبيا هندما*****ي آلمان*سوئد*دانمارک *انگلستان *فيليپين *دبي*ترکيه و... دربانک پروژه پايتخت توسط خودگروه نرم افزاري پايتخت انجام پروژه هاي دانشجويي براي دانشجويانايراني داخل وخارجازکشوررشته کامپيوتر Several suggested student programming projects for computer science majors (undergraduate, masters and PhD. students) from the Network Security Lab at Columbi@انجام پايان نامه وپروپوزال هاي دانشجويي مقاطع تحصيلي کارداني کارشناسي کارشناسي ارشددكترا و....دانشگاه هاي داخل و خارج از کشوررشته کامپيوترنرم افزار*معماري کامپيوتر*هوش مصنوعي و فناوري اطلاعات و.........امنيت شبکه* مخابرات امن *تجارت الکترونيک تحت تمامي زبانها برنامه نويسي خدمات مشاوره اي: مشاوره رايگان انتخاب موضوع پايان نامه - انجام تمامي خدمات مربوط به تهيه پيشنهاديه پايان نامه ( proposal ) مشاوره و تدوين پايان نامه هاي مرتبط با رشته هاي فوقالذکرفناوري اطلاعات* کامپيوترو.. ارائه تمامي فصول مربوط به پايان نامه ، مطابق با جدول زمانبنديتوافقي مشاوره و طراحي پرسش نامه و انجام مصاحبه و تجزيه و تحليل اطلاعات استخراجي با استفاده ازنرم افزارهاي مرتبط و در انتها ارائه مقاله اي علمي – پژوهشيبراي ارائه نشريات معتبر داخلي (علمي-پژوهشي) و خارجي (ISI)IEEE*نگارش، تدوين و اديت مقاله هاي isi براي ارسال به ژورنال هاي معتبر با ايمپکت فاکتور بالا رشته فناوري اطلاعات * گرايش تجارت* الکترونيک -*کارشناسي ارشد درمورد نقش erp و سيستم هاي اطلاعاتي و ريسک در هوش تجاري بررسي انواع چالش‌هاي موجود در رايانش ابري و رايانش توري(Cloud computing amp; Grid computing) شامل مباحث امنيت (Security)، ذخيره‌سازي (Storage)، کارايي (Performance)، دسترس‌پذيري (Availability) و مديريت، تخصيص و زمانبندي منابع (Allocation and Scheduling Resources)، توازن بار(Load Balancing). بررسي انواع الگوريتم‌ها در حوزه‌ي داده‌کاوي (Data Mining)؛ طبقه‌بندي(Classification)، خوشه‌بندي(Clustering)، کشف قوانين انجمني(Association Rules)، پيش‌بيني سري‌زماني(Time Series Prediction)، انتخاب ويژ***** (Feature Selection) و استخراج ويژ***** (Feature Extraction)، کاهش بعد(Dimensionality Reduction)، شخصي سازي نتايج موتورهاي جستجو و داده‌کاوي اطلاعات آنها(Search Engine). بررسي انواع الگوريتم‌ها در حوزه‌ي شبکه‌هاي اجتماعي(Social Network)؛ کشف ساختار(structure Detection ) کشف اجتماعات(Community Detection)، تشخيص اسپم(Spam Filter). بررسي انواع تکنولوژي‌هاي ذخيره داده اي، Sql، NoSql، نگاشت کاهش (MapReduce)، هادوپ(Hadoop)، کار با Big Data. بررسي، مقايسه و بهبود انواع الگوريتم‌هاي مکاشفه‌اي، فرا مکاشفه‌اي و چند هدفه مانند الگوريتم ژنتيک(Genetic Algorithm, MOGA, NSGAII)، الگوريتم ازدحام ذرات(PSO, MOPSO)، الگوريتم مورچگان(Ant Colony)، الگوريتم زنبور عسل(Bee clolony)، الگوريتم رقابت استعماري(ICA)، الگوريتم فرهن***** (Cultural Algorithm)، الگوريتم تکامل تفاضلي(DE). بررسي انواع الگوريتم‌هاي پردازش تصوير(IMAGE PROCESSING)؛ تشخيص چهره(Face Recognation)، قطعه‌بندي تصاوير(Image Segmentation)، فشرده‌سازي تصاوير(Image Compression)، نهان‌نگاري تصاوير(Watermarking). بررسي انواع الگوريتم‌هاي ياد*****ر؛ شبکه‌هاي عصبي (ANFIS, ANN)، شبکه‌هاي بيزين(Bayesian Network)، ماشين بردار پشتيبان(SVM). استفاده از نرم‌افزار‌هاي Visual Studio، متلب(Matlab)، وکا(Weka)، رپيدماينر(Rapidminer)، Clementine، کلودسيم(Cloudsim). استفاده از زبان‌هاي Python, Java, C, C#, C++, DBMS, MySql, Sql Server, VB.NET, PHP تدوين پروپوزال، اجراي پايان نامه و طرح هاي پژوهشي و … وبررسي الگوريتمهاي شبکهاي گيريد* داده کاوي (Data Mrining) در زمينه هاي دسته بندي (Classification)، خوشه بندي (Clustering)، پيش بيني (Prediction)، انتخاب ويژگي (Feature Selection) و قواعدانجمني (Association Rules) با*وب سرويس و....الگوريتمlulea*سيستم هاي چندعامله ژنتيك* شبكه عصبي *هوش مصنوعي * شبيه سازي *بهينه سازي *سمينار*–الگوريتم چندهدفه* تكاملي *سيمولينک*بينايي ماشين*فازيکامينز*. Image Processing amp; Machine vision* SIMULINK, cloud storagerو IMAGE PROCESSING و GENETIC ALGORITHM و NEURAL NETWORK*و FUZZY LOGIC Steganalysis Facial expression Face recognition Texture segmentation Image retrieval Image segmentation Color Demosaicing ... Machine Vision: Object tracking( with all kind of methods) for various purposes Multiple Object Tracking Object Tracking with motion blur Blind motion blur deconvolution line based structure from motion Geometrical enhancemen *webrecommendation پروژه هاي محيط سيمولينک (Simulink) پروژه هاي بازشناسي الگو (pattern recognition) پروژه هاي کدنويسي مختلف و پروژه هاي مرتبط با جعبه ابزارهاي: • Aerospace• neural network*• symbolic math*• comminucation*• bioinformatic*• curve fitting*• control system*• econometric• database*• datafeed*• filter design*• image acqusition*• signal processing*• optimization* انجام پروژه هاي حاوي پايگاه داده و پروژه هاي گرافيکي تحت تمامي زبان هاي برنامه نويسي 1 - شبکه هاي عصبي مصنوعي چند لايه پرسپترون2 - شبکه هاي عصبي مصنوعي با تابع پايه شعاعي3 - درختان تصميم *****ري طبقه بندي و رگرسيوني4 - مدل هاي درختي5 - ماشين هاي بردار حامي طبقه بندي و رگرسيوني5 - ماشين هاي بردار حامي طبقه بندي و رگرسيوني6 - سيستم هاي استنباط فازي7 - سيستم هاي استنباط فازي - عصبي8 - سيستم استنباط بيزين با استفاده از نرم افزارهاي: Clementine, SPSS, WEKA, Rapid Miner, Qnet, انجام پروژهاي برنامه نويسي دلفي ، جاوا ، ويژوال بيسيك ،وي بي دانت .وي بي 6*مطلب- پي اچ پي , ، اكسس ، سي شارپ اي اس پي *پارلوگ *پرولوگ *سي *سي پلاس پلاس *مولتيمديابيلدرو....*رديابي *مکانيابي *sar* الگوريتم تطبيقي ياد*****ري براي رتبه بندي : با رويکرد آتاماتاي ياد*****ر * شبکه هاي MANET براي کاربردهاي چند رسانه اي* ياد*****ري تقويتي براي تقسيم بار پردازشي در شبکه توزيع شده با معماري *****ريد* وسايل نقليه اي با قابليت شناسايي حملات Dos *بدافزاردرشبکه عصبي *بدافزارها وشناسايي آنها*c-means*Fuzzy k-means معماري سرويس گزا*داده گرا/*soaسيسستمهاي تشخيص نفوذ*کامپيوتري هاي بيومولکولي *سيگنال هاي الكتريكي بيو مـولـكـولي مرتب سازي شبکه Sorting-Network انجام پروژه هاي تلفن گويا ، برنامه هاي ارتباطي ، پاسخگوي خودکار ، سيستم پيغام *****ر و برنامه نويسي تحت شبکه پروژهاي شبکه حسگرو... دارنده بزرگترين بانک سورس هاي آماده به تمامي زبانهاي برنامه نويسي ( انجام شده توسط خود گروه ) پايتخت مقاله هاي جديدومعتبرباشبيه سازي *2015*2014*2013*2012*2011*2010 پروژه خودرامتخصانشان ارائه دهيدنه به موسسات انجام پروژه چون هم نمي دانند شما چه مي خواهيدوهم هزينه براي خوددريافت مي کنند درست وبا اطمينان انتخاب کنيد همراه مستندات و توضيحات کامل ، و خط به خط دستورات و نيز نحوه ساخت و چگونگي اجراي پروژه ها، بهمراه دايکيومنت (Document) تايپ شده و آماده براي صحافي بهمراه پشتيباني بعد از تحويل پروژه بعد ازتحقيق بررسي ازچند مورد تماس با ما درمورد کلاه برداري با استفاده ازاسم گروه پايتخت تحقيق وبررسي ما آغازگرديدپس ازجستجو دراينترنت متوجه شديم اشخاصي ديگري با استفاده نام اعتبارگروه نرم افزاري پايتخت اقدام به کلاه برداري و سوه استفاده ازطريق آگهي هاي همانندآگهي هاي گروه پايتخت نموده اند بدين وسيله گروه نرم افزاري پايتخت اعلام مي داردکه اين اشخاص به هيچ عنوان جزوه گروه ما نمي باشندوتنها تلفن پاسخ گو ازطريق گروه نرم افزاري پايتخت به شماره 09191022908مهندس خسروي مي باشد www.pcporoje.com 09191022908 خسروي گروه نرم افزاري پايتخت هيچ گونه مسئوليتي را جهت بي دقتي کاربران وسوه استفاده هاي احتمالي ازآنها نمي پذيرد انجام پروژه هاي برنامه نويسي دانشجوئي براي دروس دانشگاهي : * مباني کامپيوتر * برنامه سازي پيشرفته * سيستم هاي تجاري * ساختمان داده * طراحي الگوريتم * ذخيره و بازيابي اطلاعات * نظريه زبانها و ماشين ها * هوش مصنوعي * کامپايلر * ريزپردازنده,vhdl,z80,…IVR ، 8051 * شبکه هاي کامپيوتري * گرافيک کامپيوتري * مهندسي نرم افزار * پايگاه داده *كارآفريني *كارآموزي *مباحث ويژه *معماري کامپيوتر * سيستم عاملپيشرفته *ياد*****ري ماشين *پردازش موازي *روش تحقيق *سمينار *پردازش سيگنال *پردازش صوت *شبيه سازي وبهينه سازي * آزمايشگاه هاي (سيستم عامل ، ريزپردازنده ، مدار منطقي ، پايگاه داده) ليست زبانهاي برنامه نويسي تخصصي ما به شرح زير مي باشد: Database: SQLServer Access php Html Java J2EE J2me Assembly Matlab برنامه نويسيموبايل NET. تحت (Pocket PC) XML, AJAX, JavaScript) Oracle Ns2 Opnet ……, همراه :09191022908 خسروي ليست پروژه هاي آماده تحت تمامي زبانهاي برنامه نويسي سيستم آرشيو اطلاعات پروژه هاي دانشجويي سفارش پروزه ازدانشگاه انگلستان يک نانوايي مي خواهد سيستم توزيع خودش را بهينه کند سفارش پروژه ازدانشگاه انگلستان نرم افزارارسال اس ام اس وايميل سفارش پروزه ازدانشگاه ترکيه شبيه سازي ميل سرورياهو سفارش پروزه ازدانشگاه آلمان سيستم ام ارپي سفارش پروزه ازدانشگاه هند فروشگاه اينترنتي سفارش پروزه ازدانشگاه ما*****ي کتابخانه صوتي براي لينوکس سفارش پروزه ازدانشگاه مجارستان پياده سازي همکار به همکار شبکه سفارش پروژه ازدانشگاه دبي الگوريتم fcfs سفارش پروژه ازدانشگاه فيليپين دانلودرايگان پروژه هاي دانشجويي دارنده بزرگترين بانک سورس هاي آماده به تمامي زبانهاي برنامه نويسي ( انجام شده توسط خود گروه ) پايتخت درضمن برخي ازاين پروژهاهم تحت ويندوزدرآرشيوموجوداست وهم تحت وب برنامه اسباب بازي فروشي*حملات سياه چالانه AODV *مقاله هاي جديد ومعتبرباشبيه سازي 2015*2014*20113*2012*2011 *ارسال مقاله وسمينار*نويز*****ري تصوير* کاربردسيستمهايچندعاملهدريادگيريالکترونيک*وب معنايي وابزارهاي ان * تشخيص چهره روي تصوير و ويديو*حذف اثر حرکت از روي تصاوير*تخمين قدرت سيگنال در شبکه مخابراتي بي سيم و تعيين مکان بهينه براي فزستنده ها *بررسي و شبيه سازي مدل سينوسي سيگنال صحبت * بررسي و مقايسه سيستمهاي عامل بلادرنگ*بررسي پروتکل SRM در شبيه ساز NS-2*بررسي روشهاي کد کردن بردارهاي جابجايي در فشرده سازي سيگنالهاي ويد يويي*طراحي و ساخت اجزاء تکرار کننده GSM*پياده سازي کدينگ کانال Reed-Solomon بر روي سيگنال ويديو بي سيم*شناسايي چهره انسان در تصاوير رن******نهان نگاري تصاوير ديجيتال در حوزه ويولت* سيستمهاي ارسال ديجيتال صوت*جداسازي سيگنالهاي صوتي مخلوط شده به روش BSS* مطالعه و بررسي امضاء هاي ديجيتال*بررسي و شبيه سازي چيدمان بهينه ادوات شبکه هاي بدون سيم*بررسي الگوريتمهاي نهان نگاري تصوير و پياده سازي آنها*سيستم اتاق عمل *بررسي روشهاي مختلف حذف نويز در سيگنالهاي ديجيتال*تحليل روشهاي فضا- زمان در سيستمهاي مخابرات بي سيم*نهان نگاري صوتي*نهان نگاري تصاوير ديجيتال با استفاده از تبديل موجک *روشهاي تکراري براي جبران اعوجاج ناشي از درونيابي *MAC جهت دار در شبکه هاي بي سيم ad hoc * Taxonomy and Survey of Cloud Computing Systemscloud *storager*محاسبات ابري opnetشبيه سازي شبکه با استفاده از WIP** روشهاي حفاظت از اطلاعات در فرآيند انتقال و دريافت مقايسه بانك هاي اطلاعاتي اسكيوال واوراكل * امنيت ATM- پايگاه داده توزيع شده سيستم مرسولات پستي اداره پست به کمک معماري سرويس گرا و تکنيک model_driven engineering شبيه سازي ns2 *تشخيص چهره انسان به روش تحليل تفکيکي خطي دو بعدي( 2D-LDA به همراه مقاله *تشخيص حرکت از طريق ورودي دوربين يا وبکم* تشخيص کارکتر و عدد در تصوير OCR* تشخيص عدد فارسي در تصوير (به همراه آموزش فارسي)* تشخيص حروف فارسي در تصوير به روش تطبيق الگو* تشخيص حروف فارسي در تصوير به روش شبکه عصبي* شبيه سازي مدولاسيون پالسهاي كدشده PCM* شبيه سازي و بررسي انواع اتصال کوتاه در ژنراتور* شبيه سازي ورقه کردن ف****** شبيه سازي بازوي ربات (به همراه مقاله)* ترميم تصوير Image *طراحي مدارهاي *ابرکامپيوترها*داده هاي با حجم بسياربالا inpainting* ترميم ويدئو Video inpainting** برنامه تشخيص بارکد (پردازش تصوير) اتحاديهخريدكارمندانوخريدكالاهايمشابهبهافراد*بررسي مکانيزم احرازهويت *fcfs*الگوريتم کاهش نويز در تصويرNoise Canceling*بررسي کليه توابع توزيع در متلبDistributions functions* پياده سازي روش گوشه شمال غربي *North-West Corner Method* برنامه تبديل اتوماتيک کد فرترن به متلب بهينه سازي تنش در تراس *پنهان‌نگاريتصاوير يا Steganography با متلب*• بدست آوردن پروفايل دما در سطح مقطع steak در زمان هاي مختلف بعد از قرار گرفتن در ظرف روغن شبيه سازي راکتور batch (ناپيوسته) و رسم نمودار غلظت ها* يكسوساز سه فاز تريستوري با *پروژه ياد*****ري ماشين يا تشخيص جنسيت زن مرد *machine learning**• تشخيص لبه تصوير توسط الگوريتم کلوني مورچه ها ACO (به همراه مقاله) پردازشتصويرWavelet بهبود مدل کاربر در وب¬سايت بصورت خودکار با استفاده ازمعناشناسي با مفاهيم خاص دامنه*پروژه هاي مهندسي معكوس *طراحي سايت b2b تشخيص هويت افراد با استفاد شناساي كف دست *نظرسنجي *الگوريتم پنتيک چندهدفه * • محاسبه جريان درون لوله و عدد رينولدز به کمک روابط سوامي و جين و دارسي-ويسباخ • شبيه سازي کنترل مقاوم عصب* تحليگرلغوي*چندضلعي *جدول متقاطع * فرستادن ايميل *شبيه سازي پروتکل مسيريابي شبکه حسگر بي سيم باآپ نت پروژه هاي تشخيص هويت :عنبه *اثرانگشت *تشخيص چهره به چهره *كف دست * الگوريتم هاي خوشه بندي در شبکه هاي حسگر موبايلعنوان* امضاي ديجيتال**امنيت اطلاعات * بررسي امنيت شبکه در مقوله پدافند غير عامل * بيومتريک (Biometric)*الگوريتم زنبورعسل *دنباله کاوي *شناسايي خط *شناسايي صورت *بينايي ماشين*هوش مصنوعي دربازي *وب معنايي*آنتولوژي *فشرده سازي تصوير*پردازش صوت * امنيت درپايگاه توزيع شده*فايل هاي ويرانگر - - - سيستم فروش و صورتحساب- سيستم حضورغياب با اثر انگشت - سيستم صندوق رستوراني و فروشگاهي با سخت افزار و نرم افزار POS گروه مهندسي پايتخت - انجام پروژه هاي دانشجويي شما با قيمتي مناسب پذيرش سفارش پروژه داخل وخارج ازکشور هرگونه کپي برداري ازآگهي غيرمجازمي باشد جهت سفارش پروژه تماس ب*****ريد ازديگرپروژهاي ماديدبفرماييد www.pcporoje.com http://tezcomputer.com http://tezcomputercom.blogfa.com مهندس خسروي 09191022908 جهت سفارش پروژه يا نياز به هرگونه اطلاع رساني فقط با ايميل زير با مادر تماس باشيد infoporoje.net@gmail.com
          Review: nonda ZUS Smart Tire Safety Monitor   

nonda, a Silicon Valley company on a mission to bring today's technology to yesterday's car, launched the ZUS Smart Tire Safety Monitor (ZUS STSM) to help monitor tires in real-time and prevent dangerous blowouts. The ZUS Smart Tire Safety Monitor is now available for preorder through an Indiegogo campaign

 

While tire pressure monitoring systems (TPMS) are required in all US-sold or manufactured vehicles after 2007, most standard tire sensor technology is indirect - unable to provide actual tire pressure readings or indicate which tires have a problem. Getting a direct TPMS installed at a dealership can cost upwards of $599. Even though TPMS is required by law, the National Highway Traffic Safety Administration noted that 1 in 4 cars on the road has at least one underinflated tire and those with underinflated tires are 300% more likely to get into a crash.

 

Powered by next-generation German sensors, nonda has built a state-of-the-art tire safety monitoring system. These sensors can monitor both pressure and temperature to eliminate the dangers of driving on underinflated tires. More importantly, nonda's proprietary AccurateTemp algorithm continuously analyzes sensor data and alerts the driver to any safety issues. This advanced data mining technology makes it the only device on the market that can accurately detect slow leaks and help drivers avoid dangerous situations before they occur.

 

Key benefits include:
-Improved driving safety - Monitor tire pressure in real-time to prevent dangerous blowouts
-First ever slow leak detection - The proprietary AccurateTemp algorithm detects slow leaks before it's too late
-Save on fuel - Save as much as 11 cents per gallon by having properly inflated tires
-Self-install in 10 minutes - Only 3 steps, simple enough to use on rental cars
-Award-winning app - Easy to use with frequent, free upgrades over-the-air

 

Beyond providing superior technology, the ZUS STSM is also built for anyone to use. With a 3- step, 10-minute installation process, the product doesn't require a trip to the mechanic for installation or expensive wheel re-balancing. We tested the system ourselves and found it incredibly easy to install and tire pressure readouts begin populating the moment you start driving.

 

The ZUS Smart Tire Safety Monitor boosts safety, increases fuel economy and offers drivers advanced technology at an affordable price. The Indiegogo campaign will run all of June, and backers will have the opportunity to pre-order the ZUS Smart Tire Safety Monitor starting at $97 for Super Early Birds (retails at $119.99). Units are scheduled to ship in August 2017, and the product will also be available for retail purchase via nonda's direct website and in retailers such as Fry's and Micro Center.


          PHP 7.2 Release Date and Managers Being Chosen - 7 Minutes Lately in PHP podcast episode 82   
By Manuel Lemos
PHP 7.2 development is reaching to the alpha stage in June, hopefully to have a final version released later this year. So for now the release managers are being chosen, so they can start preparing to work on each alpha, beta and release candidate version.

This was one of the main topics discussed by Manuel Lemos and Arturs Sosins on the episode 82 of the Lately in PHP podcast.

In this episode they also talked about other proposals for PHP cache keys for stream wrappers, serialized object validation with is_string, type variants, let range() return a generator, named parameters again, and removing the need for ; on the end of the line .

They also commented on an article about promoting Open Source projects using data mining and business intelligence to boost SEO factors, and using OpenID Connect protocol to implement single sign-on social login systems.

This article also contains a podcast summary as a text transcript and a 5 minute video of the summary.

Listen to the podcast, or watch the hangout video, or read the transcript text to learn more about these interesting PHP topics.

          dataaspirant-Nov2015-newsLetter   

Blog Posts: 1. Great resources for learning data mining concepts and techniques: With today’s tools, anyone can collect data from almost anywhere, but not everyone can pull the important nuggets out of that data. Whacking your data into Tableau is an OK start, but it’s not going to give you the business critical insights you’re looking
+ Read More

The post dataaspirant-Nov2015-newsLetter appeared first on Dataaspirant.


          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Irvine, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:26 GMT - View all Irvine, CA jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA jobs
          Machine Learning Applied to the Recognition of Cryptographic Algorithms Used for Multimedia Encryption   
This paper presents a study of encrypted multimedia files in order to identify the encryption algorithm. Audio and video files were encoded with distinct cryptographic algorithms and then metadata were extracted from these cryptograms. The algorithm identification is obtained by using data mining techniques. Therefore, the procedure first stage performs the encryption of audio and video files using DES, Blowfish, RSA, and RC4 algorithms. Then, the encrypted files were submitted to the data mining algorithms: J48, FT, PART, Complement Naive Bayes, and Multilayer Perceptron classifiers. The resulting confusion matrices compiled into charts and it was possible to notice that the percentage of identification for each of the algorithms is greater than a probabilistic bid. There are several scenarios where algorithm identification reaches almost full recognition.
          (USA-WA-Bellevue) Data Scientist   
Bing’s mission: To deliver the most relevant knowledge to our customers by being more than just a search engine – Bing’s goal is to be the decision engine. Data is critical to achieving that mission. At Bing, we have an enormous wealth of data, ranging from user interaction logs to web documents, from user feedback to system performance data. The Bing Advertiser Sciences Team is hiring extremely talented, highly motivated and productive individuals with expertise in the areas of: Computer Science, Machine Learning, Econometrics, Statistics, Modeling, Simulation and Data Mining. The team develops and applies advanced techniques to turn our petabytes of data into insights; and to drive actions based on those insights. The team works closely with partners across Microsoft’s Online Services Division to enable rigorous, effective, and data-driven decision making. Some example of the challenges we face: •Modeling the dynamics of the paid search market •Understanding Advertiser value, lifecycle, opportunity and marketing objectives •Designing and analyzing the results of large-scale online experiments Prototyping algorithms fundamental to managing and optimizing demand generation activities to support our search marketplace. At Bing, we offer a strong team environment, exciting applied research challenges, and a fun place to work. The work environment empowers you to have a real impact Microsoft’s business, our advertiser partners, and millions of end users. This role is a unique opportunity to work with a world-class, interdisciplinary group of researchers, analysts, and developers. Job Responsibilities include: •Develop and manage and develop analyses and algorithms that generate actionable insights and programs to improve Bing Ads demand generation activities including: increasing both long-term revenue and relevance. •Research and develop solutions for improving profits for Microsoft and returning value to the audience, advertisers and publishers (e.g. Ecosystem health, marketplace performance measurement, advertiser health, outlier detection, etc.). •Specific responsibilities include the following: Work with key business stakeholders to understand the underlying business needs and formulate, communicate and create buy-in for analytics approaches and solutions •Influence stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through story-telling, visualizations, and other influencing tools. •Effective communicate and translate Bing Ads business strategy and goals into discrete, manageable problems with well-defined measurable objectives and outcomes on which the Advertiser Sciences team can execute. •Transform formulated problems into implementations plans for experiments by developing data sources, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results •Contribute to an environment of scientific inquiry which reinforces team standards for analytic rigor that is consistent with the broader Microsoft data sciences community and strives to apply the simplest viable approach for experiments and analysis Qualifications: •A Bachelor’s degree in Data Science, Computer Science, Electrical Engineering, Machine Learning/AI or related fields. •Demonstrated experience in all phases of managing data science engagements including: problem definition, solution formulation and delivering measurable impact. •Experience with online data; experience with online-advertising data strongly preferred. •Knowledge and experience in at least three of the following areas: machine learning, data mining, user modeling, information retrieval (interrogation of log files and very large databases), economic modeling, econometrics, game theory, statistics, data analysis, e-metrics/measurement. •2+ years of experience in at least three of the following areas: machine learning, data mining, user modeling, information retrieval (interrogation of log files and very large databases), economic modeling, econometrics, game theory, statistics, data analysis, or e-metrics/measurement; 4+ years are preferred. •Experience with data analysis and statistical tools (e.g. Python, R, SAS, Matlab or SPSS). •Solid communications skills, both verbal and written. •Hands-on approach to data analysis and a strong focus on quality. •Ability to work independently and collaboratively in an interdisciplinary team environment Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to askstaff@microsoft.com. Data & applied sciences (engineering)
          Redundancy-Aware Topic Modeling for Patient Record Notes   
The clinical notes in a given patient record contain much redundancy, in large part due to clinicians’ documentation habit of copying from previous notes in the record and pasting into a new note. Previous work has shown that this redundancy has a negative impact on the quality of text mining and topic modeling in particular. In this paper we describe a novel variant of Latent Dirichlet Allocation (LDA) topic modeling, Red-LDA, which takes into account the inherent redundancy of patient records when modeling content of clinical notes. To assess the value of Red-LDA, we experiment with three baselines and our novel redundancy-aware topic modeling method: given a large collection of patient records, (i) apply vanilla LDA to all documents in all input records; (ii) identify and remove all redundancy by choosing a single representative document for each record as input to LDA; (iii) identify and remove all redundant paragraphs in each record, leaving partial, nonredundant documents as input to LDA; and (iv) apply Red-LDA to all documents in all input records. Both quantitative evaluation carried out through log-likelihood on held-out data and topic coherence of produced topics and qualitative assessment of topics carried out by physicians show that Red-LDA produces superior models to all three baseline strategies. This research contributes to the emerging field of understanding the characteristics of the electronic health record and how to account for them in the framework of data mining. The code for the two redundancy-elimination baselines and Red-LDA is made publicly available to the community.
          HGVA: the Human Genome Variation Archive   
Abstract
High-profile genomic variation projects like the 1000 Genomes project or the Exome Aggregation Consortium, are generating a wealth of human genomic variation knowledge which can be used as an essential reference for identifying disease-causing genotypes. However, accessing these data, contrasting the various studies and integrating those data in downstream analyses remains cumbersome. The Human Genome Variation Archive (HGVA) tackles these challenges and facilitates access to genomic data for key reference projects in a clean, fast and integrated fashion. HGVA provides an efficient and intuitive web-interface for easy data mining, a comprehensive RESTful API and client libraries in Python, Java and JavaScript for fast programmatic access to its knowledge base. HGVA calculates population frequencies for these projects and enriches their data with variant annotation provided by CellBase, a rich and fast annotation solution. HGVA serves as a proof-of-concept of the genome analysis developments being carried out by the University of Cambridge together with UK's 100 000 genomes project and the National Institute for Health Research BioResource Rare-Diseases, in particular, deploying open-source for Computational Biology (OpenCB) software platform for storing and analyzing massive genomic datasets.

          GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses   
Abstract
Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.

          5 Steps to Get Sponsorship for Your Events   

Unless you are a Fortune 500 company, you probably don’t have the budget for a high-scale event. This means you will need sponsors on your side. Of course, getting a sponsor is easier said than done. Why will another company, after all, choose to sponsor your event when they receive dozens of similar requests on a near daily basis? Approaching sponsors the right way is the key to tilting the odds in your favor.

1. IDENTIFY YOUR ASSETS TO A SPONSOR
Sponsors leverage their sponsorship as a marketing strategy. Clearly, they want something out of it; otherwise they would not be sponsoring anyone and spending thousands of dollars. What can you offer to the sponsor that is tied directly to their campaign strategy? It should be more than just eyeballs and extra clicks to their website.

If you share a similar demographic audience, then perhaps you can provide them with your own detailed data mining report, complete with predictive analytics and psychographics. Maybe you can provide value to their customers by giving them free VIP membership as part of a cross-promotion. In any case, you need to identify unique incentives that distinguish you from a competitor.

2. TIMING IS IMPORTANT
Most companies only do event sponsoring at certain times of the year. Their event budget is often formulated the previous year.  The optimal time of year differs depending on factors like the economy, the industry, and the company’s ROI performance.

Other companies may sponsor events year-round but have a more limited budget during certain seasons. Companies tend to hold more events during the summer and fall seasons. Some may not be doing any sponsoring at this time of year since they’re reserving their budget for their own events. They may begin sponsoring during the slower months in winter when their own consumer activity is slow.

Know when the peak sponsoring times are for each company you reach out to. This may mean having to schedule your events around these peak times.

Plan better, increase event revenue and grow your attendee engagement with Eventinterface. Request your demo.

3. BE DATA-HEAVY IN YOUR PROPOSAL
Sponsors see your event as a form of advertising for their own company. As such, they want to see numbers that predict a successful event. Your proposal should include a spreadsheet and strong data visuals that outline anticipated attendance, attendance numbers of past events, social media engagement, and so on.

Other forms of data you should share includes Click-Through Rate or CTR for event-specific ads. Include numbers generated from your business intelligence system’s predictive analytics.

Raw data is more important to sponsors than unquantifiable measurements like testimonials. Keep your data up to date and only present data that satisfies your own company benchmarks.

4. PROPOSE DIFFERENT PACKAGE LEVELS
Your proposal shouldn’t just include a desired monetary sum. Provide sponsors with multiple tiers of sponsorship options and what you will do in return at each tier. Perhaps you need $20,000 to host the event, but you should let the sponsor know that you’re willing to accept a smaller funding amount. A tiered sponsor package should include a list of the options and what you will provide at each level, such as in the following:

  • $20,000 – the sponsor’s logo on all of your promotional items, cross promotion of the sponsor’s latest product during the main presentation, sponsor’s ad on your digital signage;
  • $10,000 – two of the three incentives under the $20,000 tier;
  • $5,000 – any one of the three incentives under the $20,000 tier;

Of course, this may mean having to acquire multiple sponsorships to obtain the full funding. However, you should be having an ongoing relationship with multiple sponsors.  After all, do famous athletes, musicians, and politicians ever only have a single sponsor?

5. MAKE IT ABOUT THE SPONSOR
Your company is the one seeking event funding; therefore, the ball is in the sponsor’s court. Aside from proposing multiple sponsor options, you can also just be direct and ask the sponsor what it wants in return. This way, you can customize a package suitable for the sponsor’s specific needs. Does the sponsor want your own brand advocates to cross promote its products? Does it want to set up its own booth or workshop at your event?

Know what the sponsor wants and do your best to fulfill the request. At the same time, however, don’t be afraid to negotiate so that what you get out of it is fair for you.

There you have it, a guide to getting sponsors on your side. These strategies aren’t fail-proof by any means, and you should still expect many sent proposals to go unanswered. However, these steps do make your proposal stand out from the pile of other similar sponsoring requests.

GUEST BLOGGER:
Dan McCarthy is an Event Manager at Venueseeker, an event management company based in the UK. Dan has 5 years of event project management under his belt. He has worked on many successful events, and currently he shares his knowledge by writing on the company blog. Follow him on Twitter @DanCarthy2.

Please do us a little favor and share this post with others, for there’s a good chance that it will help them as they go about planning meetings and events.

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          Discrimination, Lack of Diversity, and Societal Risks of Large-Scale Data Mining Highlighted in Special Issue of Big Data   
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           Gene expression data annotation, effective storage, and enrichment through data mining    
Sideris, E; (2007) Gene expression data annotation, effective storage, and enrichment through data mining. Doctoral thesis, UCL (University College London). Green open access
          Data Scientist - Data Mining & Analysis   
4it Recruitment - Leeds - Data Scientist - Data Mining & Analysis Leeds, West Yorkshire - £50,000 basic + excellent benefits package An exciting opportunity... data, information, and analytics team, the Data Scientist will undertake data mining and analysis in order to help steer global pricing...
          Data Scientist Data Mining & Analysis   
4it Recruitment - Leeds - of Leeds city centre. Joining the data, information, and analytics team, the Data Scientist will undertake data mining and analysis in order... working in a senior, data focused, analytical role Experience of data mining, extraction, and multivariate analysis Data modelling experience...
          Data Scientist - Data Mining & Analysis   
Leeds - Data Scientist - Data Mining & Analysis Leeds, West Yorkshire - £50,000 basic + excellent benefits package An exciting opportunity... data, information, and analytics team, the Data Scientist will undertake data mining and analysis in order to help steer global pricing...
          Hire a Web Scraping Specialist by Workawarders   
I need you scrap all the email available in the given website.Those who can use scraper software or scripts that can bypass the " I am not a robot " captcha to fetch the data are welcomed. (Budget: ₹1500 - ₹12500 INR, Jobs: Data Mining, Javascript, PHP, Web Scraping)
          SAS is an analytical platform, not just a language   

I'm sure I'm not the only one who has read and contributed to threads on the internet about all the different languages used for data mining. But one aspect that's been left out of most of these comparisons is that SAS is more than a 4th generation programming language (4GL). [...]

SAS is an analytical platform, not just a language was published on SAS Voices by David Pope


          Pokémon GO 0.67.2 data mining report: One Year Anniversary   
Trainers, in order to address a large number of bugs with the new Raid system, a new Pokémon GO update has been released – 0.67.2. The update is available as an APK on APK Mirror and it’s safe. Not a lot was expected from this update, but we did find something very interesting: a new ONE_YEAR_ANNIVERSARY flag was […]
          Golden Nanab and Golden Pinap Berry discovered in the code base   
Trainers, it seems that we forgot to include a very important discovery in our 0.67.1 data mine reports. We’ve discovered two new Golden Berries in the code base, they have no visual assets attached and at the moment they seem to be only placeholder entries. Be aware that Niantic can’t release these Berries without a new […]
          Sr. Java Engineer- Artificial Intelligence Software   
Head of the Harbor, If you are a Sr. or Principal Java Engineer with an interest in Data Mining or Artificial Intelligence, please read on! We are a mature start up company which is comprised of the team which built one of the most widely used AI technologies used by consumers today. We have now developed an artificial intelligence platform which has important implications for every vertical from machine-driven busin
          Data Engineer with Scala/Spark and Java - Comtech LLC - San Jose, CA   
Job Description Primary Skills: Big Data experience 8+ years exp in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis
From Comtech LLC - Fri, 23 Jun 2017 03:10:08 GMT - View all San Jose, CA jobs
          (USA-NJ-Jersey City) CCB - Risk - Basel Capital Modeling -Associate   
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com at http://www.jpmorganchase.com/ Chase Consumer & Community Banking serves nearly 66 million consumers and 4 million small businesses with a broad range of financial services through our 137,000 employees. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Our Risk Management professionals work directly with Consumer Banking, Business Banking, Auto/Student Loan, Card and Commerce Services, Chase Wealth Management and Mortgage Banking to minimize, monitor and control the probability of risk events and mitigate the impact of risk events that do occur. The Capital Risk Modeler is responsible for designing, developing and maintaining capital models for Mortgage accounts. The position will document and communicate model results and insights to senior staff in Consumer Risk, the Consumer LOBs, or Model Review and Governance. More specifically, the Risk modeler will: · Provide support for model development, implementation, performance monitoring and calibration. · Handle a variety of analytic projects as well to support capital modeling efforts and business needs. Such projects may include data research and leveraging capital models to solve business problems. · Be responsible for compiling and documenting modeling and analytical results in an organized way. The responsibilities include compiling appropriate data, applying multidimensional data aggregation, performing profile analysis, and evaluating impacts using optimization/sequencing tools and/or classification and regression algorithms. - Minimum of a Master's degree in a field that provides a strong background in finance, economics and statistical methods. Ph.D. degree is strongly preferred. - Minimum of 3-year experience in developing loan-level loss forecasting models and credit risk models within financial institutions. - Possess a thorough understanding of the risk drivers of the models and their applications in estimating default and prepayment risk and potential losses. - Successful candidates will have had statistics or econometrics courses at the graduate level. Besides basic statistics, the incumbent should have a solid theoretical knowledge of regressions with categorical dependent variable such as logistic and probit and regressions with limited depended variable such as Tobit and survival modeling. - Knowledge of linear and non-linear regressions and time series econometrics is also desired. - Intermediate level of SAS skills, especially in modules such as SAS/Base, SAS/STAT, SAS/Macro, data mining and simulation because SAS is heavily employed in creating data sets, ad hoc analyses and modeling. - Handle projects independently with a minimum of oversight and supervision and should be able to make contributions to the group's knowledge base by proposing creative and valuable ways for approaching problems and projects. - Excellent communication skills are required, as the incumbent will frequently be called upon to make presentations to the senior management and to write documents that describe work products in a clear manner. JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.
          (USA-GA-Atlanta) LOGISTICS ANALYST   
POSITION PURPOSE A Logistics Analyst uses analytical methods and a variety of tools to understand, predict, and/or control Logistics operations and processes. Analysts are responsible for data management, analyzing performance, identifying problems, and developing recommendations that support Logistics management. Solves problems by considering courses of action within the framework of management s goals and standards. Completes all tasks in expected timeframes. Must be a self starter, detail oriented, able to support multiple projects and/or Logistics business functions, possesses excellent communication skills, works well with a team, interacts with multiple levels and functions with the Logistics organization, and able to manage vendor/business relationships. MAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES 25% Create and analyze reports to support business execution. 25% Develops business tools and solutions based on knowledge, product or technology and identifies Logistics process improvement. 15% Supports vendor/business partner relationships. 15% Develops and maintains cost estimates, forecasts, and cost models 10% Performs data management through a combination of data mining, data modeling, data analysis, cost/benefit analysis and/or problem analysis; while executing day to day processes related to area of responsibility. 10% Supports the business through ad-hoc queries, and maintains reports from a variety of resources as specific to department or organizational needs NATURE AND SCOPE No direct responsibility for supervising others. ENVIRONMENTAL JOB REQUIREMENTS Environment: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Travel: Typically requires overnight travel less than 10% of the time. Additional Environmental Job Requirements: MINIMUM QUALIFICATIONS Must be eighteen years of age or older. Must be legally permitted to work in the United States. Additional Minimum Qualifications: Education Required: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Years of Relevant Work Experience: 2 years Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Additional Qualifications: Preferred Qualifications: Industrial Engineering, Business Administration, Math or Finance Degree Experience with Six Sigma or other Process Improvement Methodology Proficient in: Microsoft Office Suite including Access, Excel, Powerpoint, Project, Word and Visio. Advanced Skills in: Mini-Tab, Access, SQL, Visual Basic Skills for Data Acquisition and Analysis Knowledge, Skills, Abilities and Competencies:Business Analysis: Clarifies and resolves complex business issues by breaking them down into meaningful components to determine root cause and redesigning internal and external business processes. Business Communication: Writes, speaks, and presents clearly and succinctly across a variety of communication settings and adjusts communication style to the audience by translating and articulating technical concepts to non-technical groups. "Creative Thinking: Demonstrates originality and imagination in thinking while developing a solution to a problem. Financial Acumen: Utilizes fundamental concepts of finance to manage budgets, forecast costs, and provide information to account for the financial impact of decision-making." "Adaptability: Adapts to and embraces change with composure, resilience, and perseverance in the face of constraints, high pressure, and adverse situations. Delivers Results: Demonstrates a clear bias for action and a sense of urgency on priorities." "Drives Excellence: Approaches problems systematically; develops solutions with sustainable and scalable results. Excels in Customer Service: Thinks and acts with a customer perspective." Inspires Achievement: Excites associates about change, by explaining its benefits and the business case.
          (USA-WA-Seattle) Sr Data Engineer   
Amazon.com was recently voted #5 most admired company in the US, #1 most innovative, and # 1 in Customer Service. Amazon Clicks provides the advertising platform for some of Amazon's fastest growing strategic businesses, our offering Sponsored Products stands out amongst the fastest growing service inside Amazon. The Amazon Clicks Data Engineering team is looking for an exceptional data engineer who is passionate about data and the insights that large amounts of data can provide, who thinks/acts globally, and who has the ability to contribute major novel innovations in the industry to fill the role of a Sr. Data Engineer. The role will focus on working with a team of data engineers, business and tech savvy professionals to lay down scalable data architecture to ingest the large amounts of structured and unstructured data and datasets, work with stakeholders to drive business decisions based on these datasets. The ideal candidate will possess both a data engineering background and a strong business acumen that enables him/her to think strategically and add value to increase the support business and the customer experience.They will experience a wide range of problem solving situations, strategic to real-time, requiring extensive use of data collection and analysis techniques such as data mining and machine learning. The successful candidate will work with multiple global site leaders, Business Analysts, Software Developers, Database Engineers, Product Management, and Finance, in addition to stakeholders in sales, marketing and service teams to create a coherent customer view. They will: · Mentor and develop data engineers and business analysts. · Develop and improve the current data architecture for AWS Support Redshift, Oracle and Hadoop/Hbase Cluster. · Improve upon the data ingestion models, ETLs, and alarming to maintain data integrity and data availability. · Keep up to date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of advertiser experience. · Partner with BAs across teams such as product management, operations, sales, marketing and engineering to build and verify hypothesis to improve the business performance. · Manage and weekly business report via dashboards and papers the analyses of daily, weekly, and monthly reporting of performance via Key Performance Indicators. · Bachelor's Degree in Computer Science or a related technical field. · 6+ years of experience developing data management systems, tools and architectures using SQL, databases, Redshift and/or other distributed computing systems. · Familiarity with new advances in the data engineering space such as EMR and NoSQL technologies like Dynamo DB. · Experience designing and operating very large Data Warehouses. · Demonstrated strong data modeling skills in areas such as data mining and machine learning. · Proficient in Oracle, Linux, and programming languages such as R, Python, Ruby or Java. · Skilled in presenting findings, metrics and business information to a broad audience consisting of multiple disciplines and all levels or the organizations. · Track record for quickly learning new technologies. · Solid experience in at least one business intelligence reporting tool, preferably Tableau. · Master’s degree in Information Systems or a related field. · Capable of investigating, familiarizing and mastering new datasets quickly. · Knowledge of a programming or scripting language (R, Python, Ruby, or JavaScript). · Experience with MPP databases such as Greenplum or Vertica. · Experience with Java and Map Reduce frameworks such as Hive/Hadoop. · Strong organizational and multitasking skills with ability to balance competing priorities. · An ability to work in a fast-paced environment where continuous innovation is occurring and ambiguity is the norm. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #adsdata AMZR Req ID: 554671 External Company URL: www.amazon.com
          (USA-WA-Seattle) Sr Data Engineer   
Amazon.com was recently voted #5 most admired company in the US, #1 most innovative, and # 1 in Customer Service. Amazon Clicks provides the advertising platform for some of Amazon's fastest growing strategic businesses, our offering Sponsored Products stands out amongst the fastest growing service inside Amazon. The Amazon Clicks Data Engineering team is looking for an exceptional data engineer who is passionate about data and the insights that large amounts of data can provide, who thinks/acts globally, and who has the ability to contribute major novel innovations in the industry to fill the role of a Sr. Data Engineer. The role will focus on working with a team of data engineers, business and tech savvy professionals to lay down scalable data architecture to ingest the large amounts of structured and unstructured data and datasets, work with stakeholders to drive business decisions based on these datasets. The ideal candidate will possess both a data engineering background and a strong business acumen that enables him/her to think strategically and add value to increase the support business and the customer experience.They will experience a wide range of problem solving situations, strategic to real-time, requiring extensive use of data collection and analysis techniques such as data mining and machine learning. The successful candidate will work with multiple global site leaders, Business Analysts, Software Developers, Database Engineers, Product Management, and Finance, in addition to stakeholders in sales, marketing and service teams to create a coherent customer view. They will: · Mentor and develop data engineers and business analysts. · Develop and improve the current data architecture for AWS Support Redshift, Oracle and Hadoop/Hbase Cluster. · Improve upon the data ingestion models, ETLs, and alarming to maintain data integrity and data availability. · Keep up to date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of advertiser experience. · Partner with BAs across teams such as product management, operations, sales, marketing and engineering to build and verify hypothesis to improve the business performance. · Manage and weekly business report via dashboards and papers the analyses of daily, weekly, and monthly reporting of performance via Key Performance Indicators. · Bachelor's Degree in Computer Science or a related technical field. · 6+ years of experience developing data management systems, tools and architectures using SQL, databases, Redshift and/or other distributed computing systems. · Familiarity with new advances in the data engineering space such as EMR and NoSQL technologies like Dynamo DB. · Experience designing and operating very large Data Warehouses. · Demonstrated strong data modeling skills in areas such as data mining and machine learning. · Proficient in Oracle, Linux, and programming languages such as R, Python, Ruby or Java. · Skilled in presenting findings, metrics and business information to a broad audience consisting of multiple disciplines and all levels or the organizations. · Track record for quickly learning new technologies. · Solid experience in at least one business intelligence reporting tool, preferably Tableau. · Master’s degree in Information Systems or a related field. · Capable of investigating, familiarizing and mastering new datasets quickly. · Knowledge of a programming or scripting language (R, Python, Ruby, or JavaScript). · Experience with MPP databases such as Greenplum or Vertica. · Experience with Java and Map Reduce frameworks such as Hive/Hadoop. · Strong organizational and multitasking skills with ability to balance competing priorities. · An ability to work in a fast-paced environment where continuous innovation is occurring and ambiguity is the norm. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #adsdata AMZR Req ID: 554672 External Company URL: www.amazon.com
          (USA-WA-Seattle) Senior Financial Analyst, Amazon Air   
Amazon is seeking a highly analytical and resourceful Senior Financial Analyst to support our US air transportation initiative. Amazon transportation is continuously innovating on behalf of our customers to deliver more selection, more quickly and at lower prices. In this role, you will drive profitability and customer experience by directly impacting the development, planning, and execution of our Air transportation network. The role will require quickly learning and fully grasping the business’s economics to understand the big picture, gaining proficiency in our data systems to capture the right details, and communicating clearly and succinctly to effectively partner with business leaders and influence decisions. Given the nature of this initiative, you will have to venture into unknown territory, and help the team learn how to succeed in a new space. Key Responsibilities: + Working closely with business partners, stakeholders, and other finance teams across transportation, fulfillment, supply chain, and technology teams to reduce cost while improving customer experience + Building forecasting models and operating plans + Extracting, combining, and summarizing data to analyze the financial impact of new initiatives, and effectively communicating key findings to senior leadership to influence and support tactical and strategic business decisions + Developing metrics and reports to provide controllership to new programs + BA/BS degree in Finance, Economics, Accounting, Engineering or a other fields with an analytical focus + Finance or analytical experience in air cargo, passenger airlines, logistics, or e-commerce + Proven ability to develop strategic relationships with business partners + Proven ability to solve complex problems and perform root cause analyses + High capacity to prioritize workload and achieve effective results within tight deadlines in a fast-paced, dynamic, ever-growing, and often ambiguous environment; effective multi-tasking skills are vital + Intermediate to advanced proficiency in Microsoft Excel (macros, pivots, lookups) + Demonstrated financial acumen or experience delivering quantitative analyses + MBA from a highly regarded school, professional certification, or 5+ years of relevant experience performing financial or other quantitative analyses with demonstrated career progression + Demonstrated effective communication and presentation skills working with peers and various levels of management + Experience working with large-scale data mining and reporting tools (i.e. SQL, MSAccess, Essbase and/or Cognos) Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation AMZR Req ID: 553919 External Company URL: www.amazon.com
          (USA-WA-Seattle) Senior Product Manager, AWS Fraud Prevention   
Want to stop fraudsters and make a direct multi-million dollar impact to Amazon's bottom line? Come join the AWS Fraud Prevention team and help us prevent fraud and abuse on AWS, the largest and fastest growing public cloud provider. Fraudsters are continually looking for new ways to steal from us. We invent new techniques to detect and stop these bad actors, leveraging the latest in data mining, predictive modeling, and enforcement. Our team, AWS Fraud Prevention, is a centralized team within AWS that protects all AWS services from fraud and abuse, and ensures the experience of legitimate AWS customers is not negatively impacted by a few bad actors. We are seeking a results-oriented, customer-centric Senior Product Manager to help define and build our next-generation fraud prevention systems. This position has a high level of visibility. The right candidate will be a strong leader who can communicate clearly and influence at all levels of the company. The ideal candidate has a strong focus on delivering products/services to internal and external customers and combines their product expertise with an ability to build the business case to evaluate new opportunities. He or she has great abilities to influence across organizations while driving a specific roadmap and detailed product requirements for a software development team. As a Senior Product Manager, you will: + Set long-term vision, own the product roadmap, and align company-wide dependencies spanning multiple product teams. + Define clear feature definition through business requirements, UX design, and working with software development managers to build new customer experiences. + Dive deep on customer data and feedback, and ensure the team makes the right trade-offs and protects high standards on behalf of the customer. + Move fast, innovate, and find ways to simplify. + Bachelor’s degree required + 3+ years of experience as a product manager, with demonstrated success in launching new products, services or businesses + Demonstrated experience leading and influencing cross-functional teams + Exceptional interpersonal and communication (both written and verbal) skills + MBA and/or Master’s degree in mathematics, engineering, or computer science + Experience delivering technology products/services in a high growth environment + Experience working in or with a fraud or risk management organization + Experience working on Enterprise/B2B products/services + Ability to think strategically and at the same time stay on top of tactical execution + Ability to work with large volumes of data using advanced Excel and SQL skills AMZR Req ID: 552013 External Company URL: www.amazon.com
          (USA-WA-Seattle) Product Manager - Fulfillment Innovations   
Since 1995, Amazon has focused on being “the world’s most customer centric company.” Our customers are worldwide, and include not just consumers, but also our sellers. Over 2 million sellers offer new, used, and collectible selections to Amazon customers around the world. To meet our sellers’ needs, our smart, diverse, customer-obsessed employees are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) is an Amazon service for our sellers. The FBA team partners with sellers and our Amazon fulfillment centers to create a seamless experience for sellers to leverage our world-class facilities. 71% of sellers who use FBA report more than a 20% increase in unit sales after joining FBA. In a very real way, we are changing lives with the work we do. FBA’s Fulfillment Innovations team is looking for a big-thinking Product Manager to help us to define and build the next generation of fulfillment technologies for our Customers. This position will be responsible for conducting research and analysis to better understand our Customers and the business opportunity, designing intuitive and powerful solutions, and working with us to create a new set of global solutions and services to improve overall supply chain efficiency. The end goal is to be an enabler of our Sellers’ businesses by providing them a new set of tools that allow them to reach more Customers, lower their costs, and ultimately, scale their business. Position Responsibilities + Collaborate with global business, engineering, marketing, and product management teams across Amazon and FBA to design, communicate and deliver solutions for thousands of third-party sellers + Utilize data to develop the business case, definition and ongoing improvement of fulfillment products and features to grow a new line of business. + Launch new global fulfillment products for FBA + Conduct analysis to better understand program impacts, opportunities, product needs and Seller types. + Help to develop and drive a long-term, global vision for a FBA’s third-party fulfillment business Required Qualifications · Bachelor’s degree in engineering, mathematics, business or equivalent field. · 4+ years of business management or product management experience. · Experience working across a diverse set of global teams to develop solutions. · Experience in data mining (SQL, ETL, data warehouse, etc.) · Strong background in software design and development including the launch and implementation of the solution. · Analytical and quantitative skills; ability to use hard data and metrics to solve business problems. Ability to juggle multiple priorities and make things happen in a fast-paced, dynamic environment; bias for action Preferred Qualifications · Experience working with supply chain, fulfillment, or transportation operations systems · Strong project management skills: proven track record of executing complicated projects by collaborating with cross-functional teams · The ability to articulate complex concepts in verbal and written form to cross functional audiences AMZR Req ID: 551654 External Company URL: www.amazon.com
          (USA-WA-Seattle) Data Engineer - Retail Pricing Systems   
Amazon's worldwide pricing team is looking for a talented Data Engineer to deliver business intelligence solutions for decision support and strategic planning. Data plays a key role in the evolution of our pricing algorithms to solve the world's most complex technical challenges in pricing optimization, large-scale computing, distributed systems, web applications, algorithms and data mining. Pricing systems are responsible for determining and publishing prices automatically, with little to no manual intervention, for the millions of items that Amazon sells worldwide ranging from Books to Consumer Electronics to Shoes. Our ideal candidate has a combination of strong technical skills, superb analytical capabilities, outstanding business insight, and excellent verbal and written communication skills. As a member of our team, you will have the opportunity to work with one of the largest and most complex data warehouses in the world to gather insights using data from across Amazon. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative problem solving to deliver useful reports and data insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and the ability to work in a fast-paced environment. This role requires an individual with excellent analytical abilities who strives to answer business/marketing questions rather than just producing numbers and who operates independently and works across functional boundaries. We are looking for someone to develop a healthy obsession with understanding our customer and providing services that meet their needs. This person must also enjoy being a creative contributor and thrive in working in a start-up environment. In this role, you will have the opportunity to display your skills in the following areas: * You own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. * You define and develop tests to identify the best way to reach, convert and retain customers. * You will be the voice of the customer in understanding their behavior and needs. * You collaborate across the organization to develop best practices for your function and advocate for improvements in enterprise-wide tools * You are comfortable presenting your findings to large groups, both internally and externally * You will encourage the organization to adopt next-generation business intelligence tools for real-time data analysis and scalable AWS-based solutions. * You have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value. You listen effectively. To learn more about Pricing Systems, visit our page at http://bit.ly/AmazonPricingSys * Bachelor degree and 3+ years of relevant work experience * Demonstrable skills and experience using SQL with large data sets (for example, Oracle, DB2, SQL Server) * Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets * Microsoft Excel experience * Excellent verbal and written communication skills * Masters degree in Computer Science or equivalent * Familiarity with statistical models and data mining algorithms * Experience with Hadoop or other map/reduce "big data" systems and services * Experience with high throughput, 24x7 systems * Innovation and initiative to improve coding standards, test coverage, quality and automation * Scripting skills in Perl, Python, JavaScript, and/or Ruby * Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. AMZR Req ID: 548526 External Company URL: www.amazon.com
          (USA-WA-Seattle) Software Development Engineer   
Amazon Video is changing the way millions of customers interact with video content. The Amazon Instant Video team delivers high-quality instant video to Amazon customers through subscriptions (Amazon Prime) as well as purchases and rentals. Amazon believes so deeply in the mission of Instant Video that we've launched our own studio to create original and exclusive content. Every day we face the challenges of a fast paced market and expanding technology set. As a member of the Instant Video team, you will spend your time as a hands-on engineer and a technical leader. You will play a key role in building software products and features from the ground up. You will use a wide range of technologies, programming languages and systems. Your responsibilities will include all aspects of software development. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. We'd love to have you join us and build the systems, services, and apps that delight our end users. We build apps for the web, mobile phones, tablets, smart TVs, game consoles, and set top boxes. Using advanced machine learning and data mining techniques, we help our customers discover the best movies and TV shows. We measure data in Petabytes and streaming in Exabytes. We obsess over big picture problems like "How do we deliver video that’s more reliable than the internet it’s delivered over?" to low level details like "How do we squeeze maximum picture quality out of every bit delivered?" We strive to be on the forefront of new consumer technologies like UHD TV and High Dynamic Range video. We build huge scale distributed systems on the AWS cloud to make sure our service is always reliable for our customers. We use computer vision and machine learning techniques to build rich metadata about videos, and partner closely with teams like IMDb to let customers explore deeper into the TV and movies they love. In short, we have exciting challenges in an industry that’s doubling in size every year, and you can be a part of it. The Amazon Instant Video web playback team is looking for a smart and motivated senior software engineer to help us change the way customers watch movies and TV shows. The Amazon Instant Video team provides instant access to thousands of movies and TV shows that can be experienced on your PC as well as devices such as TVs, Blu-ray disc players, set-top boxes, and more. The playback team is responsible for creating a smooth and seamless video experience on the web and various mobile and living room devices such as the Kindle Fire, 3rd party Android devices, iPad/iPhone, Xbox, Wii/WiiU, and PS3. We are looking for excellent software engineers who will consistently improve our customer experience and further extend our offerings on the most cutting edge devices. You will be encouraged to see the big picture, be creative, and positively impact millions of customers. This is a young and evolving business where creativity and drive can have a lasting impact on the way video is enjoyed worldwide. AmazonInstantVideojobs * Expert knowledge of web technologies (JavaScript/HTML/CSS) * Expert knowledge of at least one modern programming language such as Java, C, or C++ * Expert knowledge of data structures and algorithms * Working knowledge of design patterns, object oriented design, and operating system fundamentals * Relentless customer focus * Excellent analytical skills * Excellent written and verbal communication * Bachelors degree in Computer Science or equivalent * Experience building multimedia playback technologies AMZR Req ID: 535419 External Company URL: www.amazon.com
          (USA-VA-Virginia Beach) Sales Representative, Inside support   
Individuals who succeed in this role take ownership of the situation presented, and know how to prioritize to ensure a positive resolution. This is a dynamic role that requires a flexible proactive professional who has a vested interest and is accountable to the team. Daily activities will support the team, such as: responding to customer requests, data entry, confirming deliveries, researching pricing, and a myriad of activities to support the inside sales team. + Respond to customer requests and price quote requests on a timely basis as efficiently as possible + Proactively seek and track opportunities to automate the supply business, such as ESI Smart store migration + Compare vendor and distributor pricing to find or initiate most aggressive cost pricing possible + Participate in weekly meetings with sales representative(s) to discuss any projects, account issues, accounts receivable issues, inventory issues, etc. + Complete administrative reports of back orders + Administrative duties including order entry, tracking, and reporting + Participate in proactive selling techniques such as tele prospecting and appointment setting + Data mining of the 360 application to add suspect devices to contract, providing a ROI monthly on project + Detail orientated + Outstanding customer service + Excellent verbal and written communication + Self-directed, adaptable and positive + Ability to work under pressure + Willingness to work effectively in a team environment + Strong administrative skills + Strong knowledge and experience working in Excel Electronic Systems, Inc. is a premier supplier and service provider of comprehensive office technology. We are committed to providing remarkable innovative solutions to our customers and for our employees, extensive training and development. We are passionate about building a team of highly qualified, customer focused individuals who contribute enthusiastically to our corporate culture and our company's success. With the competitive salary and benefits offered at ESI you build more than a career, you can build a future. Check us out at www.esi.net Opportunity Employer/AA Employer M/F/D/V, and maintains a drug-free workplace. Electronic Systems is tobacco- and smoke-free workplace. External Company URL: http://www.esi.net/
          (USA-VA-Portsmouth) Continous Process Improvement Engineer 3 (Secret - Must Be Obtainable) - Portsmouth, VA   
Job Description: Duties and RESPONSIBILITIES: Provide Consulting, Performance Solutions, Analytical Support and Services for NAVSEA HQ and Fleet in the areas of Shipyard Business Operations, Project Management, Material Support, Resource and Capacity Planning, Workforce Development & Training, Availability Maintenance & Overhaul, Metrics and Measures, and Business Analytics. Serve as a Business Process Improvement Consultant leading and/or supporting process and performance improvement efforts in the areas of Shipyard Business Operations, Project Management, Material Support, Resource and Capacity Planning, Workforce Development & Training, Availability Maintenance & Overhaul, Metrics and Measures, and Business Analytics. Apply the Lean, Six Sigma and TOC and other methodologies to achieve Performance Objectives. Utilize the Microsoft suite (Word, Excel, Visio, and PowerPoint) and shipyard enterprise applications to interpret, and report relevant performance data and metrics. Frequently interact with customer in an advisory role providing constructive feedback, meeting facilitation, interviewing, training, and oral and written reports. Position requires work to be executed in group and individual settings. EDUCATION & EXPERIENCE: Using Lean Six Sigma and Theory of Constraints methodologies: - Lead Continuous Process Improvement (CPI) projects tied to critical customer value streams - Coach and mentor Lean Six Sigma (LSS) Belts in the performance of LSS projects and events - Integrate process improvements across multiple disciplines in the client environment - Perform assessments utilizing analytical skills to understand client environments and associated LSS opportunities - Interact directly with high-level customers on a regular basis Plan and facilitate meetings to achieve desired customer objectives - Conduct data mining and decision support analytics in support of business and mission objectives - Recommend priorities for business process and IT improvements - Identify and define IT functional requirements to implement business process improvements - Implement and assess business process and IT improvements - Perform internal consultation when necessary Required Qualifications: - Experience in naval maintenance or industrial operations management - Bachelor's Degree in Engineering, Operations Management (or related field) - Five to seven years of related experience - Six Sigma Black Belt Certification (ASQ or equivalent) - Minimum of three years experience in Continuous Process Improvement - Proficiency in MS Excel Desired Qualifications: - Naval Shipyard experience - Information Technology experience - Proficiency in the AIM Suite of applications (Naval Shipyard specific) - Proficiency in statistical modeling and simulation - Project Management Professional (PMP) Certification - Experience developing data analytics - Active Secret Security Clearance PHYSICAL DEMANDS: Normal demands associated with an office environment. Ability to work on computer for long periods, and communicate with individuals by telephone, email and face to face. Some travel may be required. CACI employs a diverse range of talent to create an environment that fuels innovation and fosters continuous improvement and success. Join CACI, where you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. A Fortune magazine World's Most Admired Company in the IT Services industry, CACI is a member of the Fortune 1000 Largest Companies, the Russell 2000 Index, and the S&P SmallCap600 Index. CACI provides dynamic careers for over 20,000 employees worldwide. CACI is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities.
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Irvine, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:26 GMT - View all Irvine, CA jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA jobs
          Analyze some Data by Azzeh   
analyze company data from excel to dashboard or pivot table with chart and mapping (Budget: $30 - $250 USD, Jobs: Big Data, Data Entry, Data Mining, Data Processing, Excel)
          Strike A Blow For Electronic Privacy   
h/t WRSA


This is somewhat troubling: Sensitive personal details relating to almost 200 million US citizens have been accidentally exposed by a marketing firm contracted by the Republican National Committee.


But hey, seriously…
This was data mined from all sorts of sources.
You’d lie to a pollster, right? RIGHT?!?

Okay, so…
Go by the local bookstore.
Collect 50 magazine blow-in subscription cards while you browse.
From political and religiously slanted periodicals, when possible.
Sign up for the magazines using your own name.
No middle initials.
At 17 real addresses you never lived at, all around the country.
Mail them in.
Next month, do the same thing for 5 people randomly selected.
Forward all your junk mail shit to those addresses.
Ideally, by responding to it using those addresses.
(And if you can’t figure out how to pull the same thing off online using dead end g-mail and yahoo addresses, you’re not tall enough for that ride.)

Going on vacation?
Out of state?
Go to the DMVs and post offices there. Get voter reg cards.
Get the local voter reg lists.
Re-register random strangers to different political parties than what they’re signed up for.
(Wear gloves. Don’t get caught. The Democrats have been doing this for decades. Of course it's illegal. So is deleting 30,000 official e-mails, and putting beyond-Top-Secret classified material on an unsecured private server. Beiss mich.)
Likely outcome: suddenly, everyone has to show ID to register to vote, or cast a ballot. Boo frickin’ hoo.
And people are registered to all sorts of strange parties.

Go to the local college or university.
Get a graduate name roster.
Get addresses all around the country that match the names, from the White Pages online, etc.
Register them all for the Denny’s Birthday Club.
As senior citizens.

Send $5 to each of 13 religious organizations. All different than yours.
And three atheist organizations.
And the Flat Earth Society, and the Church Of The Flying Spaghetti Monster.
And the NRA, and the ACLU.

Get three mail drops. Prepay them for six months.
Forward just your junk mail to the first one; forward all mail from the first one to the second one; all mail from the second one to the third one, and all mail from the third one to the first one. If they’re in different, but neighboring, counties, so much the better.

Get some cheap burner phones. (Quantity optional.)
Use them, and a prepaid cash gift card from Visa or MasterCard. Give one of the new phone number(s) out, with your name, every time you’re asked for a phone number that’s nobody’s goddam business, and order different inexpensive oddball crap to yourself.
At each of the 17 addresses you don’t live at.
Bonus: Use Amazon.
Send yourself Mein Kampf at one address, Mao’s Little Red Book at another, Shrillary’s It Takes a Village at a third, and Barry Goldwater’s Conscience Of A Conservative at a fourth address, and so on. Get the cheapest crappiest used copies listed.

Send your liberal acquaintances conservative books, in their own name.
Ditto, vice versa, for a few conservative friends.
Send some gay magazines to anyone annoyingly religious, esp. Muslim.

Take those bogus yahoo and g-mail accounts, and post rants on every political website in the spectrum. Daily Kos, HuffPo, TownHall.com, Brietbart, and so on.
Go hog-wild.
Think any obnoxious online jackhole, but with multiple personality disorder. Argue with yourself from different accounts.
Don’t forget Facey book and Twatter accounts. Be the Randy Quaid fan from hell in Major League 2, on social media. Try to offend everyone. Hashtag and “at” sign the known universe.
Lecture mouthy celebrities etc. for not being libtard enough. Make them hate their own causes, their own side, and get them to STFU and dance.

For maybe 200 bucks, you can so f**k up data miners, you’ll be listed at a dozen or more addresses you never lived at, and half a dozen phone numbers you won’t ever use, and be registered as belonging to every political and religious group on the planet. If 100 people did it, then did it to half a dozen random strangers, data mining them would be like looking for a needle in a wrecked auto junkyard, with a metal detector. Blindfolded.

Take some of the unused minutes on the burner phones, and call the embassies of every foreign state with terrorist groups. And terrorist front groups in neutral countries. And UN charities. Link their stuff to your online alter egos.

Leave some time on the burner phones.
Then leave them in public places like courthouse payphones, subway stations, railroad stations, bus depots, downtown cab stands, and casino slot machines.
Before you drop them off, switch the activation cards around.

Now the NSA is chasing Haqqim Appu, Swedish nuns, Shaquisha’s aunt Maisey, some random homeless bum with 27 psych holds, and teenagers from a downtown high school, and trying to tie them to ISIS, Victoria’s Secret, Justin Bieber porn, UNICEF, and inmates at the county jail.

If you have to get a supermarket (or any other) loyalty card, give them a fake name, fake address, and fake phone number: from three different real people, from the local phone book. Get multiple cards from the same chain, from different stores. Use them in rotation.

Feel free to get some more of those cards in the names of your elected representatives.
Use those cards to buy your porn and booze.

Post plastic-wrapped kilo bricks of oregano and baking powder to local politicians. From their political rivals.
And to the DEA from both of them.
Return address in Mexico, Bolivia, or Columbia.
(Bonus points if they’re from the offices of flaming Lefty eco-libtard groups.)

Rent a car the same as the one the local mayor, sheriff, chief of police, or the most special pain-in-the-ass politician(s) in your area drives. Make a set of stick-on cardboard plates, balls-on-accurate, with the right letters/numbers.
Run red light cameras in neighboring cities at 3AM. Park illegally in front of whorehouses, massage parlors, porn or marijuana stores, and get parking tickets. Go for the handicapped spaces. Call yourself in to the meter maids if necessary, mid-day.
Send the parking tickets to the local TV stations and newspapers.

And in case you never read Hayduke’s Revenge books, any time someone asks for a Social Security number that’s none of their goddam business, Richard Nixon’s number is 567-68-0515.

And there’s also a list of more Social Security numbers online, for Kurt Cobain, Walt Disney, etc.
Knock yourself out.

Screw the whole idea of tracking anyone’s digital life right in the butt, until it bleeds. For less than the price of a cheap handgun.
Corrupt the source data so hard it’ll never walk straight again.
And please, stop being lazy, and pay cash for your stuff, to the maximum extent humanly possible.

Privacy invasion game over.

I worked on a movie once, where one of the behind-the-scenes workers was a total dick to everyone. Because that’s what he was.
The sound guy quietly collected subscription cards from everyone on the show, for three months. Didn’t tell them why.
When the production company put out the crew list, he started filling them all out — for Messr. Dickhead.
For every publication known to man: lesbian magazines, dog and cat magazines, the Pennysaver, and about 200 other rags.
The last day of production, he mailed them all in.
Four years later, the dickhead was still fighting the mountains of shit that landed in his mailbox every day.

Another guy signed his vicious ex up for every dopey drawing at every mall and trade show he saw. She was getting junk from the entire planet, and never figured it out.

Have fun with life, and stop taking it so seriously.

          The latest Pokemon Go update hints at an upcoming anniversary event   
As exciting as the past two weeks have been for Pokemon Go fans, the fun doesn't stop with the Gym overhaul and the addition of Raid Battles. On Friday, a minor update made its way online, focused mostly on bug fixes. Considering how much content and how many new features were added to the game last week, it's no surprise that Niantic would have a few bugs to iron out. But a data mine of the APK has revealed an interesting piece of code that should get trainers excited. According to the sleuths over at The Silph Road subreddit, a new event type has appeared in the code of Pokemon Go. If you've been keeping up with the game, the name of the event shouldn't surprise you:
"ONE_YEAR_ANNIVERSARY"
There was little doubt that Niantic was going to let the one-year anniversary come and go without holding an in-game event to celebrate, but now it looks like we finally have proof that an event is taking place. There's no telling what exactly the event will entail, but we expect the developer to go all out in order to motivate the current players to keep playing and to bring lapsed players back on board. Niantic could also use this opportunity to introduce a set of new Shiny Pokemon to the game, because Shiny Magikarp and Shiny Gyarados could really use some company. Pokemon Go originally launched on July 6th, 2016, so be on the lookout for an announcement in the coming days.
          Pokémon Go Candy Boost To Be Released Sometime Soon   

Pokémon Go has recently received the Raids feature and now everyone is wondering what Niantic is preparing for the game. Well, it seems that according to dataminers, the developer plans to release a Candy Boost sometime in the near future. This has been discovered in the latest 0.67.1 data mine report from the Pokémon Go […]

The post Pokémon Go Candy Boost To Be Released Sometime Soon appeared first on Blorge.


          Security Link Roundup - January 4, 2016   
January 4, 2016 Oracle Consulting Security Link Roundup
I'm Mark Wilcox.The Chief Technology Officer for Oracle Consulting- Security in North America and this is my weekly roundup of security stories that interested me.###Database of 191 million U.S. voters exposed on Internet: researcherSo 2016 starts off with another headline of a database breach. In this case 191 million records of US voters. This is ridiculous. And could have been prevented.And a sobering reminder to contact your Oracle represenative and ask them for a database security assessment by Oracle consulting.###Secure Protocol for Mining in Horizontally Scattered Database Using Association RuleData mining is a hot topic - it's essential to marketing, sales and innovation. Because companies have lots of information on hand but until you start mining it, you can't really do anything with it.And often that data is scattered across multiple databases.In this academic paper from the "International Journal on Recent and Innovation Trends in Computing and Communication" the authors describe a new protocol that they claim respects privacy better than other options.On the other hand - Oracle already has lots of security products (for example database firewall, identity governance) that you can implement today to help make sure only the proper people have access to the data.So make sure to call your Oracle represenative and ask for a presentation by Oracle Consulting on how Oracle security can help protect your data mining databases. ###A Guide to Public Cloud Security ToolsCloud computing is happening.And most people are still new to the space.This is a good general article into the differences in security between public and private clouds.Plus has a list of tools to help you with cloud security.And if you are wanting to use cloud to host Oracle software - please call your Oracle represenative and ask them to arrange a meeting with Oracle Consulting Security to talk about how Oracle can help do that securely.###Survey: Cloud Security Still a Concern Heading into 2016Security continues to be the biggest concern when it comes to cloud.While there are challenges - I find securing cloud computing alot simpler than on-premise. Assuming your cloud hosting is with one of the major vendors such as Oracle or Amazon.And if you are wanting to use cloud to host Oracle software - please call your Oracle represenative and ask them to arrange a meeting with Oracle Consulting Security to talk about how Oracle can help do that securely.###40% BUSINESS DO NOT USE " SECURITY ENCRYPTION" FOR STORING DATA IN CLOUD"Holy crap, Marie." I watch a lot of reruns of "Everybody Loves Raymond" and I feel like this story is another rerun.Except unlike Raymond this is a rerun of a bad TV show.Encrypting a database is one of the best ways to secure your data from hackers.So before you start storing data in the cloud, in particular with an Oracle database make sure you have Oracle Consulting do a security assessment for you. That way you can know what potential problems you have before you start storing sensitive production data.###image credit unsplash.
          Sr. Java Developer   
NY-Stony Brook, We are a self-sustaining, revenue generating Data Mining Company which is developing unique products which analyze large supply chains to optimize pricing and shipping. Our complex automated data mining applications address the pain point of finding the best prices and wholesale deals among tens of thousands of individual suppliers for product shipments across the U.S. Due to consistent growth and
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Irvine, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:26 GMT - View all Irvine, CA jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA jobs
          Essential Data Mastery Bundle for $39   
Extract, Manipulate, Manage, Even Analyze Data Sets with 7 Courses & 36+ Hours of Instruction
Expires June 02, 2018 23:59 PST
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Learning SQL, MySQL & Databases Is Easy


KEY FEATURES

Knowledge of SQL is an invaluable asset that can set you up for any tech-based career from web design to data analysis to quality assurance. Learn to store and manipulate data on multiple database systems from MySQL to Oracle for your own personal development, to start a new business, or to get a leg up on your coworker. You’ll be a competent database designer and query writer after watching these lectures.
  • Become a competent database designer & query writer w/ 57 lectures & 4 hours of content
  • Manipulate MySQL, SQL Server, Access, Oracle, Sybase, DB2 & other database systems w/ SQL
  • Master MySQL queries w/ an instructor that has managed databases at large companies
  • Advance your career w/ knowledge of databases
  • Add a valuable notch on your résumé when you complete the course

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Wil Tru has built technology and marketing programs for Fortune 500 companies, top websites, and starts ups alike. He has over 10 years' experience in business technology and marketing. He has worked in house and consulted for over 100 companies including AutoZone, Business(dot)com, AngiesList, CafePress, AutoAnything, WD40, Google, and Adobe. For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!

SQL Server Fast Track for Novices: Tables


KEY FEATURES

So you have a basic understanding of SQL, but you're ready to take your skills to the next level? This in-depth course is the perfect place to start. Get up to speed on proper table design, creation, scripting, and management, and start executing simple TSQL statements. With real world examples of Stored Procedures, you'll understand the importance of production database development in your industry and beyond.
  • Take your SQL skills to the next level w/ over 37 lectures & 2 hours of content
  • Design, build, manage & maintain a wide variety of database tables
  • Learn to streamline functions like INSERT, UPDATE & DELETE
  • Access real world examples
  • Download included Stored Procedures
  • View several code examples of simultaneous techniques in action
  • Learn how mastering SQL Server can boost your career

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Dave Merton is a software developer, troubleshooter, problem solver, software trainer, author, and entrepreneur. For the past 20 years, he's been designing high-end custom software. In addition to software development, Dave has personally instructed hundreds of individuals in programming. He has trained several persons in VB skills, one-on-one as well as in larger groups for both VB and SQL Server. For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!

Taming Big Data with MapReduce & Hadoop


KEY FEATURES

Big data is hot, and data management and analytics skills are your ticket to a fast-growing, lucrative career. This course will quickly teach you two technologies fundamental to big data: MapReduce and Hadoop. Learn and master the art of framing data analysis problems as MapReduce problems with over 10 hands-on examples. Write, analyze, and run real code along with the instructor– both on your own system, and in the cloud using Amazon's Elastic MapReduce service. By course's end, you'll have a solid grasp of data management concepts.
  • Learn the concepts of MapReduce to analyze big sets of data w/ over 56 lectures & 5.5 hours of content
  • Run MapReduce jobs quickly using Python & MRJob
  • Translate complex analysis problems into multi-stage MapReduce jobs
  • Scale up to larger data sets using Amazon's Elastic MapReduce service
  • Understand how Hadoop distributes MapReduce across computing clusters
  • Complete projects to get hands-on experience: analyze social media data, movie ratings & more
  • Learn about other Hadoop technologies, like Hive, Pig & Spark

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Frank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis. For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!

Collect, Extract & Use Online Data Quickly and More Easily


KEY FEATURES

Once you’ve got the data basics down, it’s time you learn to extract the data you need, when you need it. Learn how with Kathleen Farley’s course, which takes you through hands-on exercises and real world examples. With 13 short tutorials that teach you a variety of data extraction methods, you’ll be able to efficiently collect useful information in the correct formats with the best tools available.
  • Study a variety of data extraction methods w/ 13 lectures & 1.5 hours of content
  • Take screenshots & PDFs of any website
  • Use OCR to extract text from scanned documents or images
  • Quickly take text from website to spreadsheet
  • Create organized tables from web data
  • Take advantage of relational databases by collecting the data you need
  • Automate online data retrieval tasks without writing code
  • Collect & extract data in the formats you need
  • Access course material when you want a refresher w/ lifetime access

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required
  • Spreadsheet software such as Microsoft Excel, LibreOffice, or OpenOffice

THE EXPERT

Kathleen Farley is a computer geek, teacher, learner, vinyl junkie, hockey fan, and recovering non-profit executive. Occasionally she breaks (and fixes) computers. Not necessarily in that order. The Montreal-born technologist trained as an audio engineer before moving to Hamilton, Canada in 2007. She now runs Maisonneuve Music, a Hamilton-based independent record label. She's also the co-founder of Audiohackr, a startup that helps indie musicians, producers, and DIY labels make the most of technology. Kathleen produces technology training videos under the moniker Robobunnyattack! For more details on this course and instructor, click here.

Beginner's Guide to PostgreSQL


KEY FEATURES

With an ever-increasing focus on big data and cloud-based initiatives, it's time you learn to work effectively with data. Start the route to PostgreSQL expertise with this extremely approachable beginner’s guide. You’ll learn basic database concepts like creating tables and manipulating data—a great baseline to use with any modern database systems—before moving on to using the open-source relational database PostgreSQL. You’ll get all the nitty-gritty on what SQL is, and how to use it in real world applications.
  • Gain an understanding of database concepts w/ 70 lectures & 6 hours of instruction
  • Learn the written language used to communicate w/ databases
  • Get a step-by-step look at how a database is structured
  • Learn how to install PostgreSQL
  • Insert & manipulate data w/ PostgresSQL
  • Write SQL queries
  • Get an introduction to data w/ an approachable class meant for all levels

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner

Compatibility

  • Internet required

THE EXPERT

Miguel Alho, developer and owner of Miguel Alho-Multimedia, runs a web-based software development company (mainly .NET based) building HRIS (Human Resource Information Systems) software for HR teams. He’s also been employed as a teacher to seventh and eighth graders in Tech. Ed. classes, and voluntarily accepts 12th grade internships of IT students through local schools. He is experienced with developing customized software, service, and database solutions for businesses. For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!

MySQL Database Training for Beginners


KEY FEATURES

MySQL is an incredibly popular database solution utilized by companies worldwide - and mastering it is beneficial to anyone in the tech industry. Beginning with the fundamentals, this course will teach you to design and administer a database with practical lectures.
  • Master MySQL w/ over 41 lectures & 5.5 hours of content
  • Install MySQL & study the architecture
  • Discover critical concepts for designing a database
  • Administer a database by limiting access, creating users, performing database backup & monitoring performance
  • Learn SQL for developers, database replication, data encryption & more
  • Use indexing for database performance
  • Understand query analysis & optimization

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Since 2008, individuals, small businesses, and Fortune 500 companies with thousands of employees have benefited from the easy and hands-on software training offered by Simon Sez IT. With 70+ courses and 3,500+ video tutorials on a range of software programs, Simon Sez IT ensures stress-free e-learning and enhanced employee productivity - whether you're implementing new software or a technological upgrade for your workplace. With over 225,000 Udemy students in over 180 countries, Simon Sez IT is the preferred e-learning choice for individuals and businesses everywhere. For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!

          (USA-NV-Elko) Lead Data Scientist   
Lead Data Scientist Lead Data Scientist - Skills Required - Data Science, Big Data, Analytics, Data Mining, Hadoop, Data Scientist, Python, IOT, Visualization, Business Intelligence If you are a Data Scientist Lead with experience building enterprise Analytics Dashboards, please read on! We are one of the worlds largest mineral companies, looking to bring automation and analytics to our vast enterprise operation. This role will be based out of the Las Vegas area, with frequent travel to production facilities throughout Nevada. To help advance our infrastructure, we are looking for a Data Scientist Lead who can guide us on our path toward next generation technologies, to include: Predictive and Preventative Analytics, Data Mining, and various other cutting edge projects. Must have deep understanding of building and enabling big data analytical solutions. In this role you'll spend 50% of your time doing hands-on technical development and 50% of your time doing Project Coordination and Leadership. We are an equal opportunity employer and are willing to relocate the right candidate for the role. We are offering an excellent compensation package including a base salary of $170K+, generous bonuses, and a great benefit package. **What You Will Be Doing** - Building Predictive & Preventative Analytics Dashboard - Designing Cloud based Machine Learning production pipelines - Date mining, data warehousing, data sampling and creating predictive models - Working alongside business and end-users to strategically define requirements and build applications **What You Need for this Position** More Than 5 Years of experience and knowledge of: - Either Master's or Ph.D. degree (BS degree & solid experience is fine) - IoT experience - Taking business/end-user requirements and creating Data models - Experience with Hadoop, AWS, Data mining and either Python or Java - MapReduce, Sqoop/Spark, Hive, Pig - Visualization, creating reports and cleaning data sets for modeling purposes **What's In It for You** - Competitive base salary and annual bonus (up to 200k) - Ownership of your work - leading our analytics platform!!! - Great benefits package with exceptional 401K match. - Opportunity to be a part of ground breaking technology within industry. - Opportunity for growth within all locations of company in the Americas. So, if you are a Data Scientist Lead with experience building large scale enterprise systems, please apply today! We're currently conducting interviews and look forward to speaking with you ASAP! Applicants must be authorized to work in the U.S. **CyberCoders, Inc is proud to be an Equal Opportunity Employer** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. **Your Right to Work** – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. *Lead Data Scientist* *NV-Elko* *KO-1367072*
          "Interests from partners", eh?   

Just got the announcement of a new TOS from Twitter today. Nothing dramatically surprising, although I'm mildly annoyed that they are apparently dropping support for Do Not Track.

On the bright side, they are exposing their profile of your "interests", based on whatever data mining and tracking they are doing, including your "interests from partners", "based on your profile and activity".

I'm looking at that now, and it's one of those comforting moments of realizing that at least some of these companies haven't yet gotten so good at the psych profiling. It's almost comically inaccurate, seemingly far worse than random chance -- not only are most of them uninteresting, many of them are active dislikes. (I mean, seriously: can you see me driving a RAM 1500?) Even some of the ones that seem like they should be easy to discern from conventional data are wrong -- I think "Proximity: Giant Eagle" being checked means that they literally have no idea where I am. (Which is a bit weird, because that is not hard to figure out.)

Nor are the "Interests from Twitter" much better. Okay, yes, "Open Source" is accurate, but how they get "NBA Basketball" as an interest of mine is a pure mystery.

There's a sneaking part of me that suspects that this page is not at all what it claims to be; that it's actually starting from "this is every category we can possibly imagine", and it's trying to get me to trim it down to the non-ridiculous stuff. I think I'll take a pass on that, and let myself continue to be apparently confusing to them...



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