Machine Learning Interpretability
Keith and Christoph discuss how understanding and explaining machine learning models can lead to creating better models. They delve into the importance of interpretability for societal benefits, such as guiding individuals towards healthier life choices based on model insights.In this clip
From this podcast
Machine Learning Street Talk (MLST)
047 Interpretable Machine Learning - Christoph Molnar
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