Foundations of Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the way people live, work, and interact with technology. This book offers a comprehensive introduction to the fundamental concepts, techniques, tools, and applications of AI and ML. Beginning with the history, scope, and societal impact of AI, it systematically covers machine learning paradigms, mathematical foundations, data preprocessing, supervised and unsupervised learning algorithms, neural networks, deep learning, natural language processing, computer vision, and reinforcement learning. The book also introduces widely used AI frameworks such as Python, TensorFlow, and PyTorch, while addressing ethical concerns, industrial applications, emerging trends, and career opportunities. Written in a clear and accessible manner, it serves as a valuable resource for students, researchers, educators, and professionals seeking to understand and apply intelligent technologies.