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
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches
Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monito
Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test ma