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#128 Framing Problems, Finding Solutions: Data Science and Tabular AI with Dr. Gaël Varoquaux

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Gaël Varoquaux, co-founder of scikit-learn and research director at Inria, joins us to talk about AI for data stored in tables – the kind that runs healthcare, finance and much of science. We discuss table foundation models, why cleaning data is never neutral, how to frame a problem, why AI safety is an industrial safety question, and what Europe should keep and borrow when doing science. Plus a pub quiz question about the road from quantum physics to AI. 

Listen until the end!

USEFUL LINKS

More about Gaël Varoquaux: https://gael-varoquaux.info/about.html

scikit-learn: https://scikit-learn.org

Probabl: https://probabl.ai

jingle track (get it) provided by mobygratis.

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