This is a talk for the paper "Interpretable Machine Learning - A Brief History, State-of-the-Art and Challenges". If you want to learn more about specific methods to explain machine learning models, check out the free online book "Interpretable Machine Learning: A Guide for Making Black Box Models Explainable" (links above).
