In the future, AI will explain itself, and interpretability could boost machine intelligence research. Getting started with the basics is a good way to get there, and Christoph Molnar’s book is a good place to start.

Christoph Molnar is a data scientist and PhD candidate in interpretable machine learning. Molnar has written the book “Interpretable Machine Learning: A Guide for Making Black Box Models Explainable”, in which he elaborates on the issue and examines methods for achieving explainability. Read More