Stage 2: Classic Machine Learning

An introductory textbook on statistical learning developed by Stanford University, available in both R and Python versions. It covers classic machine learning algorithms such as regression, classification, and support vector machines, and includes free online courses and experimental code.

A classic 12-week, 26-lesson machine learning curriculum for beginners developed by Microsoft, learning machine learning through practical application with cultural data from around the world.

A classic introductory Machine Learning specialization course by Professor Andrew Ng, covering supervised learning, unsupervised learning, and practical machine learning techniques.

Complete Chinese notes for Andrew Ng's Stanford Machine Learning course, covering 18 chapters from basic concepts to applications, providing learning materials in various formats.

An educational project that implements fundamental machine learning models and algorithms from scratch in Python, covering various algorithms from linear regression to deep learning, with a focus on transparently demonstrating the internal workings of the algorithms.