This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp

The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting fac

This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches

"This book focuses on the Explainable Artificial Intelligence (XAI) for healthcare, providing a broad overview of state-of-art approaches for accurate analysis

The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. The vast majority