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KDnuggets Home » News » 2014 » n29 ( < n28 | n30 > )

KDnuggets™ News 14:n29, Nov 5



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

Features

Software

Opinions

News

Webcasts and Webinars

Courses

Meetings

Jobs

  • UBS: Recommender System Specialist - Nov 4, 2014.
    Analyze and interpret large amounts of client data in order to identify the specific needs of distinct client groups and to finally work up personalized investment proposals.
  • Hyundai Capital America: Principal Statistician - Oct 31, 2014.
    Managing the design, development, and implementation of statistical services to assess Loan and Credit Portfolio risk status and trends in Commercial and Consumer Loan Portfolio.
  • MassMutual: Data Engineer - Oct 30, 2014.
    An exceptional data engineer to build and maintain big data infrastructure to support the development of a strategic data asset and the execution of data science projects.
  • DBS Bank (Singapore): VP, Data Scientist - Oct 30, 2014.
    Assess business needs and define analytical strategy, data & technology requirements. Develop models and perform statistical analysis to predict customer behavior across full range of consumer banking products.

Publications

  • Forrester Research: It's Time For A User-Driven Enterprise BI Strategy - Nov 4, 2014.
    This report deconstructs the inherent conflict between IT and business users and presents an innovative action plan that gets both sides aligned in order to win, serve, and retain customers. Download free report.
  • Free Urban Data - What's It Good For? - Nov 1, 2014.
    See how the increasing availability of free urban datasets that has come with more cities participating in free data programs can be applied to solve interesting problems in this Big Data article.

Top Tweets

  • Top KDnuggets tweets, Oct 31 - Nov 2 - Nov 3, 2014.
    Best Infographics of the Year: Nate Silver on 3 Keys to Great Information Design;
    The invention of the Equals Sign jump-started math;
    A Great Collection of Machine Learning Algorithms;
    LinkedIn breaking up its data science team.
  • Top KDnuggets tweets, Oct 29-30 - Oct 31, 2014.
    The #strataconf debate: If You Can't Code, You Can't Be a Data Scientist;
    13 Machine Learning Books recommended by Berkeley machine learning expert;
    Data Blending for Dummies - free ebook from Alteryx;
    Data Science 2.0, upcoming book from Vincent Granville.
  • Top KDnuggets tweets, Oct 27-28 - Oct 29, 2014.
    Dilbert on inability of designers predict results of A/B tests;
    Marc Andreessen @pmarc, web pioneer, VC @a16z on #BigData, upending finance;
    Will Deep Learning take over Machine Learning, make other algorithms obsolete?
    Data Scientists don't wear bowties!

CFP - Calls for Papers

Quote

Spectrum: What adverse consequences might await the big-data field if we remain on the trajectory you're describing? Michael Jordan: The main one will be a "big-data winter." After a bubble, when people invested and a lot of companies overpromised without providing serious analysis, it will bust. Big Data Winter ahead - unless we change course, warns Michael Jordan

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