Web Picks (week of 21 March 2016)

Every two weeks, we find the most interesting data science links from around the web and collect them in Data Science Briefings, the DataMiningApps newsletter. Subscribe now for free if you want to be the first to get up to speed on interesting resources.

  • Google’s DeepMind defeats legendary Go player Lee Se-dol in historic victory
    A huge milestone has just been reached in the field of artificial intelligence: AlphaGo, a program developed by Google’s DeepMind unit, has defeated legendary Go player Lee Se-dol; what an exciting match! Everyone (Wired, The Verge, Nature) seems to be covering it.
  • Beyond the hype: Why competitive advantage from analytics is declining and what to do about it
    The 2016 Data & Analytics Report by MIT Sloan Management Review and SAS finds that analytics is now a mainstream idea, but not a mainstream practice. Few companies have a strategic plan for analytics or are executing a strategy for what they hope to achieve with analytics. Organizations achieving the greatest benefits from analytics ensure the right data is being captured, and blend information and experience in making decisions.
  • An AI with 30 Years’ Worth of Knowledge Finally Goes to Work
    Having spent the past 31 years memorizing an astonishing collection of general knowledge, the artificial-intelligence engine created by Doug Lenat is finally ready to go to work. Lenat’s creation is Cyc, a knowledge base of semantic information designed to give computers some understanding of how things work in the real world.
  • Deep Q-Learning (Space Invaders)
    “Ever since I learned about neural networks playing Atari games I wanted to reimplemnted it and learn how it works. Below you can see an AI playing Space Invaders. I trained it during my batch at Recurse Center on little over 50M frames.”
  • Neural Doodle
    Use a deep neural network to borrow the skills of real artists and turn your two-bit doodles into masterpieces! This project is an implementation of Semantic Style Transfer (Champandard, 2016), based on the Neural Patches algorithm (Li, 2016).
  • Diagnosing Heart Diseases with Deep Neural Networks
    Congrats to our colleagues from Ghent: the Second National Data Science Bowl, a data science competition where the goal was to automatically determine cardiac volumes from MRI scans, has just ended. 4 members from the Data Science lab at Ghent University in Belgium participated and finished 2nd!
  • How to replace a pie chart
    “The problem with a lot of pie-chart bashing (and most “chart-shaming,” in fact) is that people don’t follow up with a better alternative. So here I’ll show how I would have created a different graph (using R and ggplot2) to communicate the same information.”
  • Intuition in machine learning
    “It has been particularly refreshing to hear Andrew Ng recognize that the inner workings of ML algorithms often don’t make intuitive sense. What struck me is that there doesn’t seem to be a single way to learn machine learning concepts— we create an intuitive understanding of algorithms by approaching them from different perspectives.”