Book of Donmon Teith

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

A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and caus

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