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Found 1 from your keywords: author=Molnar,Christoph
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Interpretable Machine Learning
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Molnar,Christoph

Summary This book covers a range of interpretability methods, from inherently interpretable models to methods that can make any model interpretable, such as SHAP, LIME and permutation feature importance. It also includes interpretation methods specific to deep neural networks, and discusses why interpretability is important in machine learning. All interpretation methods are explained in dep…

Edition
3rd Edition
ISBN/ISSN
979811-46-3330
Collation
x, 318 pages ; 24 cm
Series Title
-
Call Number
006.3 MOL