Free Guide: Interpretable Machine Learning

Preface Machine learning has a huge potential to improve products, processes and research. But machines usually don't give an explanation for their predictions, which hurts trust and creates a barrier for the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. Machine learning models are already used to choose the best advertisement for you, it filters out spam from your emails and it even assesses risk in the judicial system which ultimately can have consequences for your freedom. Can everyone trust the learned model?