Causal Interpretations
Tim and Christoph delve into the challenges of causal interpretations in machine learning models. They discuss the limitations of surface feature correlations and the importance of understanding causal relationships for model accuracy and reliability.In this clip
From this podcast
Machine Learning Street Talk (MLST)
047 Interpretable Machine Learning - Christoph Molnar
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