Interpretable Machine Learning

Description

Christoph Molnar

Machine learning has great potential for improving products, processes and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable.

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The techniques and tools covered in Interpretable Machine Learning are most similar to the requirements found in Data Scientist job advertisements.


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