Gradient Flow

Category: Data Science

  • Why your attention is like a piece of contested territory

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: P.W. Singer on how social media has changed, war, politics, and business. In this episode of the Data Show, I spoke…

  • The evolution and expanding utility of Ray

    [A version of this post appears on the O’Reilly Radar.] There are growing numbers of users and contributors to the framework, as well as libraries for reinforcement learning, AutoML, and data science. In a recent post,…

  • Using machine learning and analytics to attract and retain employees

    [A version of this post appears on the O’Reilly Radar blog.] The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit. In this episode of the Data…

  • How machine learning impacts information security

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies. In this episode of the Data Show, I spoke…

  • 7 data trends on our radar

    [A version of this post appears on the O’Reilly Radar.] From infrastructure to tools to training, here’s what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch…

  • Deep automation in machine learning

    [A version of this post appears on the O’Reilly Radar.] We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. By Ben Lorica…

  • Building tools for enterprise data science

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science. In this episode of the Data Show, I spoke with…

  • Managing risk in machine learning

    Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data…

  • Lessons learned while helping enterprises adopt machine learning

    [A version of this post appears on the O’Reilly Radar blog.] The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process. In this episode…

  • Machine learning on encrypted data

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security. In this episode of the Data Show, I spoke with…