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KDnuggets™ News 15:n13, Apr 29: The Myth of Model Interpretability; Comprehensive Data Mining Textbook


The Myth of Model Interpretability; New Comprehensive Data Mining Textbook by Charu Aggarwal; New Hybrid Rare-Event Sampling Technique for Fraud Detection; Deep Learning to Fight Crime.




Features | Software | Opinions | Interviews | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP | Quote



Features
 
 Software  (see also All Software )
 
 Opinions  (see also All Opinions for this month )
  • How to become a Data Scientist - brief answer - Apr 28, 2015.
    The most important steps to become a Data Scientist: learn Python, deep understanding of machine learning, try to be up-to-date. Check more details in the post.
  • MapR on Open Data Platform: Why we declined - Apr 24, 2015.
    Why MapR declined to participate in the Open Data Platform? Our concerns include redundancy with Apache Software Foundation Governance, misdefined "core", and lack of participation from Hadoop leaders.

 
 Interviews  (see also All Interviews for this month )
 
 Reports  (see also All Reports for this month )
 
 News  (see also All News )
 
 Webcasts and Webinars  (see also All Webcasts and Webinars )
 
 Courses  (see also All Courses )
 
 Meetings  (see also All Meetings )
 
 Jobs  (see also All Jobs )
  • Boeing: Advanced Info Technologist in Machine Learning - Apr 28, 2015.
    This position is focusing on Machine Learning and Data Mining with a strong background in statistics, probability, mathematics, databases, and strong programming skills. Help build something better for yourself, for our customers and for the world.
  • Boeing: Advanced Information Technologist Text Analytics - Apr 28, 2015.
    Join growing Boeing central R&D, Analytics and Simulation organization, and apply advanced data analysis and text analysis algorithms to help build something better for yourself, for our customers and for the world.
  • Growth Intelligence: Developer, Big Data - Apr 28, 2015.
    Help collect and process data on millions of companies from many sources, scale back-end data platform, build and improve web application, analyse data, and extract useful insights. Our clients include Google, American Express and Vodafone.
  • Growth Intelligence (London): Senior Data Scientist - Apr 28, 2015.
    Help us take the messy data we have on millions of companies and push it through a data pipeline into a web based search and recommendation engine. Our clients include Google, American Express and Vodafone.
  • XO: Marketing Analyst IV (Data Scientist) - Apr 24, 2015.
    Develop game changing analytical, predictive and statistical solutions, develop and deploy models and algorithms to enhance business processes for marketing strategy and operations.
  • Apple: Data Science Engineer - Apr 24, 2015.
    Customer-oriented, passionate and driven Data Science Engineer to lead our test automation and release management; be able to design and drive large projects from inception to production implementation and beyond.
  • Boeing: Game Software Engineer - Apr 23, 2015.
    Help develop C++, OpenGL, and OpenGL Shader code to provide high-end visualization to new and existing simulation applications to support both commercial and defense programs.
  • Boeing: Software Engineer Java Big Data Analysis - Apr 23, 2015.
    Develop code that helps to process, visualize, and analyze Big Data, including processing raw files, data standardization, integration, writing clean data to a database.
  • Boeing: Advanced Information Technologist Data Architect - Apr 23, 2015.
    Help design and develop Big Data Databases, create Data Models, define and develop ETL procedures, and manage the overall ETL architecture to support commercial and defense programs.
  • SEIU 775: Data Scientist (Research and Analytics) - Apr 22, 2015.
    Develop and build an ambitious portfolio of predictive modeling projects including learning outcomes, matching algorithms to connect home care aides with their consumers, and personalizing care plans for individual long-term care consumers.

 
 Academic and Research positions  (see also All Academic positions )
 
 Publications
  • On the Shelf: Data Science Books - Apr 28, 2015.
    Here are some great books About Data Science, Data Science for Businesses, Data Science in Popular Culture, Data Science How Tos & Manuals, and more - brought to you by UC Berkeley online Master of Information and Data Science.

 
 Top Tweets  (see also All top tweets for this month )
  • Top KDnuggets tweets, Apr 21-27 - Apr 28, 2015.
    Great discussion: Building #BigData systems in academia, industry;
    DeepLearning in a Nutshell - what it is, how it works, why care?;
    Basics of #DeepLearning to Get You Started;
    Top LinkedIn Groups for #Analytics, #BigData.

 
 CFP - Calls for Papers  (see also All Calls for Papers )
 
 

Quote

Get your hands dirty. Implement most important methods by yourself to get more understanding, experience and fun. It was a really great memory when I saw first time that my neural net can recognize digits, Mateusz Opala How to become a Data Scientist - brief answer