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EXPLAINABLE AI
Terminology
Why is explainability important?
Taxonomy of XAI methods
MODEL-AGNOSTIC XAI METHODS
Introduction to Permutation Feature Importance
Introduction to Local Interpretable Model-Agnostic Explanations (LIME)
Introduction to SHapley Additive exPlanations (SHAP)
MODEL-SPECIFIC XAI METHODS
Introduction to Forest-Guided Clustering
Introduction to Grad-CAM
Introduction to Attention Maps
MACHINE LEARNING BASICS
Introduction to Random Forest Models
Introduction to Convolutional Neural Networks and Feature Visualization
Introduction to Transformers
Repository
Open issue
Index
