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In this episode of the Data Exchange, our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and Paco Nathan, author, teacher, and founder of Derwen.ai, a boutique consulting firm specializing in Data, machine learning (ML), and AI.

We began by discussing tools for scaling machine learning. Paco and I have been impressed with the growth in the number of libraries being built on top of Ray as well as the variety of use cases that are being addressed by Ray.
We then discussed the upcoming Ray Summit, a FREE virtual conference featuring over 50 talks on machine learning, Python, serverless and cloud native technologies.
We also looked back at the first eight months of this podcast (here’s an archive of previous episodes). Both Paco and Jenn were instrumental in getting this podcast started, and I wanted to mark crossing the 30episode threshold with a short retrospective.

Detailed show notes can be found on The Data Exchange web site.

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Tools for scaling machine learning

The Data Exchange with Ben Lorica