Machine Learning
| Author/creator | Zhou, Zhi-Hua Author |
| Other author | Liu, Shaowu Translator |
| Format | Electronic |
| Publication Info | New York : Springer Berlin : Springer [Distributor] |
| Description | xiii, 459 p. ill 24.000 x 016.800 cm. |
| Supplemental Content | Full text available from Springer Nature - Springer Computer Science (R0) eBooks 2021 English International |
| Supplemental Content | Full text available from Springer Books |
| Subjects |
| Uniform title | Machine Learning chi |
| Summary | Annotation <p>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.</p> <p>The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors. It is also a useful reference resource for researchers and practitioners of machine learning.</p> |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9789811519666 |
| ISBN | 9811519668 (Trade Cloth) Active Record |
| Standard identifier# | 9789811519666 |
| Stock number | 978-981-15-1966-6 00024965 |