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Data Science Weekly Newsletter
March 24, 2016

Editor's Picks

  • An unhealthy obsession with p-values is ruining science
    Over the past couple of years, Stanford meta-researcher John Ioannidis and several colleagues have been working on a paper that should make any nerd think twice about p-values, those tests of statistical significance that are now commonly perceived as a signal of a study's worth...
  • How real businesses are using machine learning
    But from where I sit, running a company that enables a huge number of real-world machine-learning projects, it’s clear that machine learning is already forcing massive changes in the way companies operate...

A Message From This Week's Sponsor

Data Science Articles & Videos

  • Using Deep Q-Network to Learn How To Play Flappy Bird
    This project follows the description of the Deep Q Learning algorithm described in Playing Atari with Deep Reinforcement Learning [2] and shows that this learning algorithm can be further generalized to the notorious Flappy Bird...
  • Preventing airline maintenance delays with R
    Maintenance glitches cost US airlines 1.4 billion dollars in 2014. So airlines are naturally looking for ways to cut down on these costs, and minimize unexpected maintenance issues. This is a perfect opportunity to use predictive analytics: modern aircraft generate a wealth of data...
  • Understanding Aesthetics with Deep Learning
    The question then to ask is what do the master photographers’ images have in common, and what separates them from the amateur images? While it’s difficult for a computer to answer a philosophical question, if we express the question in mathematical terms we can attempt to solve it computationally...
  • Deep Advances in Generative Modeling
    In recent years, deep learning approaches have come to dominate discriminative problems in many sub-areas of machine learning. Alongside this, they have also powered exciting improvements in generative and conditional modeling of richly structured data such as text, images, and audio. This talk, led by indico's Head of Research, Alec Radford, will serve as an introduction to several emerging application areas of generative modeling and provide a survey of recent techniques in the field...


  • Senior Data Scientist - Lumosity - San Francisco
    The Data Science team at Lumosity works closely with our Product, Marketing and Science teams, leveraging data from over 80 million members and over 3 billion cognitive game plays to build compelling product features, support robust product experimentation and analysis, and support our scientific efforts. We’re looking for a self-starter who has experience working cross-functionally to deliver product features and improvements using data. Feel free to reach out to our team member Ryan
    if you want to learn more...

Training & Resources

  • Theano Tutorial
    This is an introductory tutorial on using Theano, the Python library. I’m going to start from scratch and assume no previous knowledge of Theano...


  • AI for Humans, Volume 3: Deep Learning and Neural Networks Demonstrates neural networks in a variety of real-world tasks such as image recognition and data science...
    "The content is easy to digest and not heavy on the math. Great primer to get used to concepts before diving deeper..."... For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page...

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