3rd lecture: Global model-agnostic methods - Explainable machine learning

Topics covered in this video: • What are global model-agnostic methods and why are they useful? • Attribution methods and feature importance • Partial dependence plots • Permutation feature importance • Variance feature importance • Prototypes and criticism • Maximum mean discrepancy and witness function