Gradient Flow

Category: Data Science

  • 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…

  • Fireside chat with Ben Horowitz

    I had the pleasure of interviewing Ben Horowitz on the main stage at the recent Spark summit in SFO. Ben is co-founder of one of the leading tech venture capital firms a16z, and author of one…

  • Large-scale Data Science and Machine Learning with Spark

    [Full disclosure: I’m an advisor to Databricks.] At last year’s Spark Summit in SF, Ali Ghodsi gave the first public demo of Databricks Cloud and Workspace. As I noted at the time, it was a showstopper!…

  • Apache Spark: Powering applications on-premise and in the cloud

    [A version of this post appears on the O’Reilly Radar.] As organizations shift their focus toward building analytic applications, many are relying on components from the Apache Spark ecosystem. I began pointing this out in advance…

  • 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…

  • Israel conference on Big Data, Analytics and Machine Learning

    The first Big Data, Analytics and Machine Learning (Israel Innovation) conference was a resounding success. Kudos to the organizers Danny Bickson, Assaf Araki, and Avner Algom. I was happy to help them invite speakers, publicize the…

  • 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…

  • More tools for managing and reproducing complex data projects

    A survey of the landscape shows the types of tools remain the same, but interfaces continue to improve. [A version of this post appears on the O’Reilly Radar.] As data projects become complex and as data…

  • The Spark Spot at Spark Summit East 2015 – NYC

    I had a series of conversations with a few lead developers and users of Apache Spark, at the recent Spark Summit NYC conference. You can view them on Youtube or using the player below:

    The Spark Spot at Spark Summit East 2015 – NYC