Data Science and AI in Context

from The Data Exchange with Ben Lorica · host Ben Lorica

Peter Norvig (of Google and Stanford) and Alfred Spector (of MIT) are part of the team of authors behind the must-read book Data Science in Context: Foundations, Challenges, Opportunities. We discussed their recent book and tool a deep dive into their Data Science Analysis Rubric, and we also talked about a trending topics in AI including looming regulations, synthetic data, and Large Language and Foundation Models.Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon • RSS.Detailed show notes can be found on The Data Exchange web site.

What this episode covers

Peter Norvig (of Google and Stanford) and Alfred Spector (of MIT) are part of the team of authors behind the must-read book Data Science in Context: Foundations, Challenges, Opportunities. We discussed their recent book and tool a deep dive into their Data Science Analysis Rubric, and we also talked about a trending topics in AI including looming regulations, synthetic data, and Large Language and Foundation Models. Subscribe to the Gradient Flow Newsletter: https://gradientflow.substa...

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Data Science and AI in Context

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This episode is 47 minutes long.

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This episode was published on January 26, 2023.

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