Ebook Interpretable machine learning: A guide for making black box models explainable - Part 2

Continued part 1, part 2 of ebook "Interpretable machine learning: A guide for making black box models explainable" provides readers with contents including: model-agnostic methods; example-based explanations; a look into the crystal ball; partial dependence plot (PDP); individual conditional expectation (ICE); accumulated local effects (ALE) plot; counterfactual explanations; adversarial examples; prototypes and criticisms;...