This book provides a comprehensive introduction to Artificial Intelligence and Machine Learning by integrating fundamental concepts with practical implementation and real-world applications. It covers supervised and unsupervised learning, deep lea...
This book provides a comprehensive introduction to Artificial Intelligence and Machine Learning by integrating fundamental concepts with practical implementation and real-world applications. It covers supervised and unsupervised learning, deep learning, neural networks, feature engineering, model evaluation, and intelligent data analysis using Python-based programming examples. The book also explores emerging AI technologies, ethical considerations, and applications across healthcare, energy systems, smart cities, industrial automation, transportation, and engineering. Designed with a structured, application-oriented approach, it serves as an ideal academic textbook and professional reference for undergraduate and postgraduate students, researchers, faculty members, and industry practitioners seeking practical knowledge and advanced insights into modern Artificial Intelligence and Machine Learning techniques.