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. When I first discovered and started using Apache Spark, a majority of the use cases I used it for […]

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Machine intelligence for content distribution, logistics, smarter cities, and more

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Rhea Liu on technology trends in China. In this episode of the Data Show, I spoke with Rhea Liu, analyst at China Tech Insights, a new research firm that is part of Tencent’s Online Media Group. If there’s one place […]

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Vehicle-to-vehicle communication networks can help fuel smart cities

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Bruno Fernandez-Ruiz on the importance of building the ground control center of the future. In this episode of the Data Show, I spoke with Bruno Fernandez-Ruiz, co-founder and CTO of Nexar. We first met when he was leading Yahoo! technical […]

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Transforming organizations through analytics centers of excellence

[A version of this post appears on the O’Reilly Radar blog.] The O’Reilly Data Show Podcast: Carme Artigas on helping enterprises transform themselves with big data tools and technologies. In this episode of the Data Show, I spoke with Carme Artigas, co-founder and CEO of Synergic Partners (a Telefonica company). As more companies adopt big […]

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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 Show, we look back to a recent conversation I had at the Spark Summit in San Francisco with Ion […]

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Effective mechanisms for searching the space of machine learning algorithms

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Kenneth Stanley on neuroevolution and other principled ways of exploring the world without an objective. In this episode of the Data Show, I spoke with Ken Stanley, founding member of Uber AI Labs and associate professor at the University of […]

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How Ray makes continuous learning accessible and easy to scale

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Robert Nishihara and Philipp Moritz on a new framework for reinforcement learning and AI applications. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode […]

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Why AI and machine learning researchers are beginning to embrace PyTorch

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Soumith Chintala on building a worthy successor to Torch and deep learning within Facebook. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, […]

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How big data and AI will reshape the automotive industry

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Evangelos Simoudis on next-generation mobility services. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of the Data Show, I spoke with Evangelos Simoudis, […]

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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 Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, […]

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