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!
Browse by purposeLearning & resourcesLearning & resources
TypeApps & systemsApps & systems
SubcategoryReading & learningReading & learning
PlatformNot verifiedNot verified
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First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
Language—Rust
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!:crab: Small exercises to get you used to reading and writing Rust code!
Measured at2026-11-03 08:28 UTC2026-11-03 08:24 UTC
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