Gradient Flow

Tag: machine learning

  • 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…

  • Simplifying machine learning lifecycle management

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production. In this episode of the Data Show, I spoke with Harish…

  • We need to build machine learning tools to augment machine learning engineers

    We need to build machine learning tools to augment our machine learning engineers. In this post, I share slides and notes from a talk I gave in December 2017 at the Strata Data Conference in Singapore…

  • How machine learning will accelerate data management systems

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Tim Kraska on why ML will change how we build core algorithms and data structures. In this episode of the Data…

  • Machine learning at Spotify: You are what you stream

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Christine Hung on using data to drive digital transformation and recommenders that increase user engagement. In this episode of the Data…

  • Building a natural language processing library for Apache Spark

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: David Talby on a new NLP library for Spark, and why model development starts after a model gets deployed to production.…

  • How companies can navigate the age of machine learning

    To become a “machine learning company,” you need tools and processes to overcome challenges in data, engineering, and models. Over the last few years, the data community has focused on gathering and collecting data, building infrastructure…

  • The state of machine learning in Apache Spark

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ion Stoica and Matei Zaharia explore the rich ecosystem of analytic tools around Apache Spark. In this episode of the Data…

  • The current state of applied data science

    [A version of this post appears on the O’Reilly Radar.] Recent trends in practical use and a discussion of key bottlenecks in supervised machine learning. As we enter the latter part of 2017, it’s time to…

  • A framework for building and evaluating data products

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Pinterest data scientist Grace Huang on lessons learned in the course of machine learning product launches. Subscribe to the O’Reilly Data…