Data Science Weekly Newsletter - Issue 43

Issue #43

Sept 18 2014

Editor Picks

  • Y Combinator Data Science Start-ups
    There are new and exciting commercial opportunities in the data science space. We take a look at the data science start-ups from the latest yCombinator batch....

Data Science Articles & Videos

  • Why are we still teaching t-tests?
    My posting about the statistics profession losing ground to computer science drew many comments, not only here in Mad (Data) Scientist, but also in the co-posting at Revolution Analytics, and in Slashdot. One of the themes in those comments was that Statistics Departments are out of touch and have failed to modernize their curricula. Though I may disagree with the commenters’ definitions of “modern,” I have in fact long felt that there are indeed serious problems in statistics curricula...
  • What does randomness look like?
    Here are two patterns, from Steven Pinker’s book, The Better Angels of our Nature. One of the patterns is randomly generated. The other imitates a pattern from nature. Can you tell which is which?...
  • Sequence to Sequence Learning with Neural Networks
    Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets are available, they cannot be used to map sequences to sequences. In this paper, we present a general end-to-end approach to sequence learning that makes minimal assumptions on the sequence structure...
  • Google uses R to calculate ROI on advertising campaigns
    Google has just released a new package for R: CausalImpact. Amongst many other things, this package allows Google to resolve the classical conundrum: how can we asses the impact of an intervention (for example, the effect of an advertising campaign on website clicks) when we can't know what would have happened if we hadn't run the campaign?...
  • QANTA: A Deep Question Answering Model
    We introduce a recursive neural network model that is able to correctly answer paragraph-length factoid questions from a trivia competition called quiz bowl...


  • Data Scientist, Instagram Analytics - Menlo Park, CA

    We’re looking for data scientists with a passion for Internet technology to help drive informed business decisions for Instagram. You will enjoy working with top-notch people, one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis...

Training & Resources




  • The Norm Chronicles: Stories and Numbers About Danger and Death

    Explains how statistical regularities and irregularities are central to every aspect of our lives...

    "Very well written book, it is a very interesting look at risks and the assosiated statistics. Put into perspective by a presentation of the shortcomings of the same statistics..."

    For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page.
P.S. Enjoyed the newsletter? Please forward it to friends and peers - we'd love to have them onboard too :-) - All the best, Hannah & Sebastian
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