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.
Interpretable Machine Learning with Python – Second Ed
Interpretable Machine Learning with Python – Second Edition [link]
Explainable Boosting Machine [link]