Springer - Explainable Artificial Intelligence Book

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning by Springer is a comprehensive resource designed for both new learners and experienced AI practitioners. This book bridges the gap between theory and real-world application, making it an essential tool for those interested in developing transparent machine learning models. Whether you are working in industry or academia, the content provides practical insights through case studies and associated materials. These resources are ideal for inspiration in professional projects or as hands-on assignments in a classroom environment. As noted by Dr. Carlotta Domeniconi, an Associate Professor of Computer Science, this text serves as a valuable personal resource for teaching and a highly recommended guide for students exploring the field of interpretable AI.