Zhi-Hua Zhou - Machine Learning

Translation from the Chinese Simplified language edition: Machine Learning by Zhi-Hua Zhou, and Shaowu Liu, Tsinghua University Press 2016. Published by Tsinghua University Press. All Rights Reserved.

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This is an introductory-level machine learning textbook. To make the content accessible to a wider readership, the author has tried to reduce the use of mathematics. However, to gain a decent understanding of machine learning, basic knowledge of probability, statistics, algebra, optimization, and logic seems unavoidable. Therefore, this book is more appropriate for advanced undergraduate or graduate students in science and engineering, as well as practitioners and researchers with equivalent background knowledge.

The book has 16 chapters that can be roughly divided into three parts. The first part includes Chapters can be taught in one semester at the undergraduate level, while the whole book could be used for the graduate level.

This introductory textbook aims to cover the core topics of machine learning in one semester, and hence is unable to provide detailed discussions on many important frontier research works. The author believes that, for readers new to this field, it is more important to have a broad view than drill down into the very details. Hence, in-depth discussions are left to advanced courses. However, readers who wish to explore the topics of interest are encouraged to follow the further reading section at the end of each chapter.

The book was originally published in Chinese and had a wide readership in the Chinese community. The author would like to thank Dr. Shaowu Liu for his great effort of translating the book into English and thank Springer for the publication.