Zhou Zhihua's "Machine Learning", also known as the Xigua Book, is a relatively comprehensive book. The book introduces in detail different types of algorithms in the field of machine learning (for example: supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, integrated dimensionality reduction, feature selection, etc.). It records my understanding and expanded knowledge points in the learning process. I hope it will be helpful to newcomers reading the Xigua Book!
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Verify software, hosting, model and infrastructure costs against the current official documentation.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
Language—Python
About this projectZhou Zhihua's "Machine Learning", also known as the Xigua Book, is a relatively comprehensive book. The book introduces in detail different types of algorithms in the field of machine learning (for example: supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, integrated dimensionality reduction, feature selection, etc.). It records my understanding and expanded knowledge points in the learning process. I hope it will be helpful to newcomers reading the Xigua Book!An AI tutoring project focused on ongoing personalized learning.
Measured at2026-11-03 08:28 UTC2026-11-02 19:27 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.