An awesome guided tour in the world of interpretable machine learning with Serg Masis. Serg Masis is data scientist at Syngenta, a leading science-based agtech company. Serg wrote an amazing book on interpretable machine learning [link]. All the code used for the examples illustrated in the book is freely available [link].

Serg drives us through the concept of interpretability and why it is better than explainability. Why black-box can be interpretable and a white box not? Have you ever heard about glass box models? We went through a lot of topics and modeling approaches.

Episode ID: 1000596757170

GUID: e5bd57bae3d345468ad83dc6bf741b6b

Release Date: 26/01/2023, 14:05:00