Who this book is for

• Beginner Python programmers who already have some foundational knowledge and/or experience with machine learning libraries such as scikit-learn.
• Professionals who already use Python for purposes such as data science, machine learning, research, analysis, and so on, and can benefit from learning the latest explainable AI open source toolkits and techniques.
• Data analysts and data scientists that want an introduction to explainable AI tools and techniques using Python for machine learning models.
• AI project and business managers who must face the contractual and legal obligations of AI explainability for the acceptance phase of their applications.
• Developers, project managers, and consultants who want to design solid artificial intelligence that both users and the legal system can understand.
• AI specialists who have reached the limits of unexplainable black box AI and want AI to expand through a better understanding of the results produced.
• Anyone interested in the future of artificial intelligence as a tool that can be explained and understood. AI and XAI techniques will evolve and change. But the fundamental ethical and XAI tools learned in this book will remain an essential part of the future of AI.