In this ML video, We'll learn about Interpretable Machine Learning which otherwise is known as Machine Learning Explainability and Explainable AI. Along with Python Examples
00:00 Introduction - Outline
01:13 Credits
02:57 What is Interpretable Machine Learning?
04:12 Why is Machine Learning Explainability Required?
12:12 How is IML relevant to me?
16:45 Types of IML
19:40 LIME , Advantages and Disadvantages of LIME with Python Tutorial
30:50 SHAP , Advantages and Disadvantages of SHAP
Credits: Christoph Molnar's Free Book - [ Ссылка ]
