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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

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By Donatella Cea, Lisa Barros de Andrade e Sousa, Christina Bukas, Helena Pelin, Elisabeth Georgii, Helene Hoffmann, Sebastian Starke

© Copyright Helmholtz AI 2023.