7.3 Detecting Concepts | Interpretable Machine Learning

Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable.

1 mentions: @ChristophMolnar
Date: 2021/04/07 10:48

Referring Tweets

@ChristophMolnar Just published a new chapter in Interpretable Machine Learning: Detecting Concepts by @FangzhouLi3. 🎉🎉🎉 Concept detection in deep learning has a lot of promise, and is a much needed alternative to feature attribution. t.co/MO5Rt0frZW

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