Название: Machine Learning Автор: Zhi-Hua Zhou Издательство: Springer Год: 2021 Формат: True PDF Страниц: 460 Размер: 10 Mb Язык: English
Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning. Each chapter includes exercises and further reading, so that readers can explore areas of interest.
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Machine Learning: a Concise Introduction Название: Machine Learning: a Concise Introduction Автор: Steven W. Knox Издательство: Wiley ISBN: 1119439191 Год: 2018 Страниц: 352 Язык:...
An Introduction to Machine Learning, 2nd Edition Название: An Introduction to Machine Learning, 2nd Edition Автор: Miroslav Kubat Издательство: Springer Год: 2017 Страниц: 348 Формат: PDF Размер: 10...
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