Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning offers a comprehensive introduction to the core concepts, techniques, and applications that drive intelligent systems today. This textbook explores foundational topics such as knowledge representation, search algorithms, neural networks, supervised and unsupervised learning, and deep learning. It emphasizes both theoretical understanding and practical implementation using real-world examples and case studies. Designed for students, educators, and professionals, the book bridges the gap between AI principles and hands-on machine learning applications. It serves as an essential guide to understanding how intelligent algorithms learn, adapt, and solve complex problems across various domains.