Today we’re accompanied by Robert Osazuwa Ness, Machine Learning Research Engineer at ML Startup Gamalon and Instructor at Northeastern University. Robert, who we had the pleasure of meeting at the Black in AI Workshop at NeurIPS last month, joins us to discuss:

Causality, what it means, and how that meaning changes across domains and users. Benefits of causal models vs non-causal models. Real-world applications of causality. Various tools and packages for causality, Areas where it is effectively being deployed, like ML in production. Our upcoming study group based around his new course sequence, “Causal Modeling in Machine Learning,” for which you can find details at twimlai.com/community. The complete show notes for this episode can be found at twimlai.com/talk/342.

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