FOUNDATIONS OF MACHINE LEARNING FOR ARTIFICIAL INTELLIGENCE

Foundations of Machine Learning for Artificial Intelligence provides a clear and practical introduction to the core principles that drive modern AI. Covering supervised and unsupervised learning, deep learning, neural networks, and optimization techniques, the book bridges theory with real-world applications. Designed for students, researchers, and professionals, it emphasizes both conceptual understanding and hands-on practice. With structured explanations and examples, this textbook equips readers with the essential knowledge to build intelligent systems and advance in AI-driven fields.