"Introduction to Artificial Intelligence and Machine Learning: Theory and Practice" is a comprehensive guide that introduces the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) on various industries and everyday life. The book aims to demystify these complex fields, catering to students, professionals, and enthusiasts alike. It begins with an exploration of AI's history and foundational concepts, progressing to detailed explanations of machine learning paradigms like supervised, unsupervised, semi-supervised, and reinforcement learning. Advanced topics such as neural networks, deep learning, and Natural Language Processing (NLP) are also covered, accompanied by practical examples and code snippets for implementation. Ethical considerations surrounding AI, including bias and accountability, are discussed to promote responsible development and use of these technologies.
