Web Picks (week of 24 August 2015)

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.

  • Baidu explains how it’s mastering Mandarin with deep learning
    At the International Neural Network Society conference on big data in San Francisco, Baidu senior research engineer Awni Hannun presented a new model that the Chinese search giant has developed for handling voice queries in Mandarin. The model, which is accurate 94 percent of the time in tests, is based on a powerful deep learning system called Deep Speech that Baidu first unveiled in December 2014.
  • Building the next New York Times recommendation engine
    Alexander Spangher from the New York Times details how the newspaper implemented their “recommended articles” functionality on the site, using a collaborative topic modelling approach, after trying both a pure content-based filtering and collaborative filtering approach.