Machine Learning: Methods and Applications is a systematic and comprehensive machine learning textbook, covering theoretical foundations, core methods, application practices and cutting-edge research directions. The book consists of 15 chapters, with content from simple to complex, balancing theoretical derivation and practical application, and is suitable for beginners and readers with a certain foundation. Covering both classic methods and cutting-edge technologies, this book strikes a balance between theory and practice, helping readers build a comprehensive knowledge system of machine learning. Covering both classic methods and cutting-edge technologies, this book strikes a balance between theory and practice, helping readers build a comprehensive knowledge system of machine learning.

YU Yang is affiliated with Nanjing University, and his main research fields cover artificial intelligence, machine learning, reinforcement learning, and evolutionary learning.