Understanding Machine Learning
Tim and Christoph discuss the challenges of understanding machine learning models, highlighting the differences between human and machine behavior, the limitations of interpretability methods, and the unpredictability of edge cases.In this clip
From this podcast
Machine Learning Street Talk (MLST)
047 Interpretable Machine Learning - Christoph Molnar
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