This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
"Machine learning has great potential for improving products, processes and research. But computers usually do not explain their predictions which is a barrier
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 compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine l