Gradient Flow

Tag: data show

  • From search to distributed computing to large-scale information extraction

    Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. February 2016 marks the 10th anniversary of Hadoop — at a point in time when many IT…

  • Bridging the divide: Business users and machine learning experts

    [A version of this articles appears on the O’Reilly Radar.] Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. As tools for advanced analytics become more…

  • Pattern recognition and sports data

    [A version of this article appears on the O’Reilly Radar.] One of my favorite books from the last few years is David Epstein’s engaging tour through sports science using examples and stories from a wide variety…

  • Understanding neural function and virtual reality

    [A version of this article appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Poppy Crum explains that what matters is efficiency in identifying and emphasizing relevant data. Like many data scientists, I’m excited about…

  • 6 reasons why I like KeystoneML

    [A version of this article appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ben Recht on optimization, compressed sensing, and large-scale machine learning pipelines. As we put the finishing touches on what promises to…

  • Why data preparation frameworks rely on human-in-the-loop systems

    [A version of this article appears on the O’Reilly Radar.] As I’ve written in previous posts, data preparation and data enrichment are exciting areas for entrepreneurs, investors, and researchers. Startups like Trifacta, Tamr, Paxata, Alteryx, and…

  • Building self-service tools to monitor high-volume time-series data

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Phil Liu on the evolution of metric monitoring tools and cloud computing. One of the main sources of real-time data processing…

  • Data science makes an impact on Wall Street

    [A version of this article appears on the O’Reilly Radar.] Having started my career in industry, working on problems in finance, I’ve always appreciated how challenging it is to build consistently profitable systems in this extremely…

  • The tensor renaissance in data science

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Anima Anandkumar on tensor decomposition techniques for machine learning. After sitting in on UC Irvine Professor Anima Anandkumar’s Strata + Hadoop…

  • Coming full circle with Bigtable and HBase

    The O’Reilly Data Show Podcast: Michael Stack on HBase past, present, and future. [A version of this post appears on the O’Reilly Radar.] Subscribe to the O’Reilly Data Show to explore the opportunities and techniques driving…