The book "Introduction to Artificial Intelligence & Machine Learning" provides a comprehensive foundation for AI and ML concepts. It covers AI history, types, benefits, risks, and applications across various industries. The book explores machine learning, deep learning, neural networks, and practical AI problem-solving approaches. It also introduces Python programming, discussing variables, control statements, functions, and data structures essential for AI and ML development. With theoretical insights and practical examples, the book aims to equip students, researchers, and professionals with the knowledge needed to apply AI and ML techniques effectively in real-world scenarios.