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Explainable AI and Fair Machine Learning (with R and Python)
About
Introduction
Interpretable Machine Learning
Feature Importance
PDP + ICE + ALE
Feature Interaction
Lime + Surrogates
Shapley Values and SHAP
Text & image data
Algorithmic Fairness
Outlook: Further interpretability methods
Own project
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