Fundamentals of Artificial Intelligence and Machine Learning: Regression, Neural Networks

The book offers a comprehensive introduction to the fundamental principles, methodologies, and applications that define modern intelligent systems. It is designed as a complete guide for undergraduate and postgraduate students, educators, and professionals seeking a strong foundation in AI and ML concepts along with their real-world applications. The content is organized into five logically structured units, progressing from basic concepts to advanced computational techniques. Introduction to Unit 1: Artificial Intelligence, Unit 2: Machine Learning By integrating theory, mathematics, and hands-on implementation, Unit 3: Inclusive Machine Learning, Unit 4: Regression, Unit 5: Neural Networks. By integrating theory, mathematics, and hands-on implementation, this book delivers a balanced and engaging learning experience. It equips readers with the essential skills to design, train, and optimize AI and ML models while encouraging thoughtful exploration of innovation, ethics, and the transformative impact of intelligent technologies.