Interpretable Machine Learning: A Guide for Making Black Box Models Explainable

Interpretable Machine Learning: A Guide for Making Black Box Models Explainable

  • March 31, 2018
Table of Contents

Interpretable Machine Learning: A Guide for Making Black Box Models Explainable

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 on how to make machine learning decisions more interpretable.

Source: github.io

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