Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black
This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches
Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to dep
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black