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