This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine l

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

A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage th