This book teaches you how to make Machine Learning (ML) models more interpretable. If you are looking for a good introduction to interpretableexplainable Machine Learning, this book is great. It covers lots of ground quickly and is well written, and is very up-to-date. 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 ML. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression.