Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps

By: Denis Rothman

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Synopsis: This book is not an introduction to Python programming or machine learning concepts. You must have some foundational knowledge and/or experience with machine learning libraries such as scikit-learn to make the most out of this book. Some of the potential readers of this book include: • Professionals who already use Python for as data science, machine learning, research, and analysis • Data analysts and data scientists who want an introduction into explainable AI tools and techniques • AI Project managers who must face the contractual and legal obligations of AI Explainability for the acceptance phase of their applications