Explainable AI with Python

Discover the transformative power of artificial intelligence with "Explainable AI with Python" by Leonida Gianfagna. Published by Springer Nature Switzerland AG in 2021, this insightful paperback spans 202 pages, offering a comprehensive exploration of model-agnostic methods for explainable AI (XAI). Gianfagna expertly demonstrates how these methods can generate explanations without depending on the often opaque internals of machine learning models. Through engaging examples from the field of Computer Vision, the book delves into explainable models for Deep Learning and discusses prospective methods that shape the future of AI. Ideal for both beginners and seasoned practitioners, this essential read equips you with the knowledge to navigate the complexities of AI transparency. Enhance your understanding and application of explainable AI with this invaluable resource!