Christoph Molnar: Interpretable Machine Learning A Guide for Making Black Box Models Explainable.
Pontifications
- “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.” <– Read the whole thing :-) : Interpretable Machine Learning