Pattern Recognition and Machine Learning: A Complete Learning Path from Theory to Practice

Introduction / Main Post: Pattern Recognition and Machine Learning: A Complete Learning Path from Theory to Practice

Systematically organize the core knowledge system of pattern recognition and machine learning, covering basic theories such as probability distributions, linear models, kernel methods, and graphical models, as well as corresponding practical implementation and key points of engineering applications.