Artificial Intelligence and Machine Learning

The book Artificial Intelligence and Machine Learning 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.