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Li Hang Books

1 book·~10 min total read

Li Hang holds a Ph. D.

Known for: Statistical Learning Methods (Chinese Edition)

Books by Li Hang

Statistical Learning Methods (Chinese Edition)

Statistical Learning Methods (Chinese Edition)

ai_ml·10 min read

Statistical Learning Methods (Chinese Edition) is a comprehensive textbook on machine learning written by Li Hang. It systematically introduces the fundamental concepts of statistical learning, supervised learning methods, and their theoretical derivations. The book covers ten major algorithms, including the perceptron, k-nearest neighbors, naive Bayes, decision trees, logistic regression, maximum entropy models, support vector machines, boosting methods, the EM algorithm, and hidden Markov models. It emphasizes the combination of mathematical derivation and algorithmic principles, making it suitable for beginners and researchers in machine learning.

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Key Insights from Li Hang

1

From Probability to Learning: The Foundation of Statistical Thinking

Everything in statistical learning begins with the same fundamental question: how do we learn from data? Before we can define algorithms, we must first define what 'learning' means in mathematical terms. In this book, I begin by anchoring learning theory on three pillars — probability theory, statis...

From Statistical Learning Methods (Chinese Edition)

2

Perceptron and Linear Models: The Beginnings of Learning from Classification

The perceptron, one of the earliest learning algorithms, marks the birth of machine learning as a formal field. It teaches a profound lesson: learning can be reduced to finding a linear discriminant that separates data into categories. In the perceptron model, we consider a binary classification pro...

From Statistical Learning Methods (Chinese Edition)

About Li Hang

Li Hang holds a Ph.D. from Tsinghua University and has long been engaged in research on natural language processing, machine learning, and information retrieval. He has served as a researcher at Microsoft Research Asia and as Chief Scientist at Huawei Noah’s Ark Lab. He is recognized as one of the l...

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Li Hang holds a Ph.D. from Tsinghua University and has long been engaged in research on natural language processing, machine learning, and information retrieval. He has served as a researcher at Microsoft Research Asia and as Chief Scientist at Huawei Noah’s Ark Lab. He is recognized as one of the leading scholars in the field of machine learning in China.

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Li Hang holds a Ph. D.

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