Gradient Flow

Tag: data show

  • Natural language analysis using Hierarchical Temporal Memory

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Francisco Webber on building HTM-based enterprise applications. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving…

  • Deep learning that’s easy to implement and easy to scale

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Anima Anandkumar on MXNet, tensor computations and deep learning, and techniques for scaling algorithms. Subscribe to the O’Reilly Data Show Podcast…

  • Building machine learning solutions that can withstand adversarial attacks

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Parvez Ahammad on minimal supervision, and the importance of explainability, interpretability, and security. Subscribe to the O’Reilly Data Show Podcast to…

  • Deep learning for Apache Spark

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jason Dai on BigDL, a library for deep learning on existing data frameworks. Subscribe to the O’Reilly Data Show Podcast to…

  • The key to building deep learning solutions for large enterprises

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Adam Gibson on the importance of ROI, integration, and the JVM. Subscribe to the O’Reilly Data Show Podcast to explore the…

  • How big compute is powering the deep learning rocketship

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Greg Diamos on building computer systems for deep learning and AI. Subscribe to the O’Reilly Data Show Podcast to explore the…

  • Data is only as valuable as the decisions it enables

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ion Stoica on building intelligent and secure applications on live data. Subscribe to the O’Reilly Data Show Podcast to explore the…

  • Introducing model-based thinking into AI systems

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Vikash Mansinghka on recent developments in probabilistic programming. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques…

  • Building the next-generation big data analytics stack

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Michael Franklin on the lasting legacy of AMPLab. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques…

  • Visual tools for overcoming information overload

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Dafna Shahaf on information cartography and AI, and Sam Wang on probabilistic methods for forecasting political elections. Subscribe to the O’Reilly…