MARC状态:审校 文献类型:西文图书 浏览次数:67
- 题名/责任者:
- Data mining and machine learning : fundamental concepts and algorithms / Mohammed J. Zaki, Wagner Meira, Jr.
- 出版发行项:
- Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2020.
- ISBN:
- 9781108473989
- 载体形态项:
- xii, 766 pages : illustrations ; 24 cm
- 统一题名:
- Data mining and analysis
- 其他载体形态:
- Online version: Zaki, Mohammed J., 1971- Data mining and machine learning 2. Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2020. 9781108564175
- 个人责任者:
- Zaki, Mohammed J., 1971- author.
- 附加个人名称:
- Meira, Wagner, 1967- author.
- 论题主题:
- Data mining.
- 中图法分类号:
- TP274
- 一般附注:
- Revised edition of: data mining and analysis. 2014.
- 书目附注:
- Includes bibliographical references and index.
- 摘要附注:
- "The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts.New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning"--
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索书号 | 条码号 | 年卷期 | 馆藏地 | 书刊状态 | 还书位置 |
TP274/BZ1 | 40044438 | 力行书屋(外文原版) | 非可借 | 力行书屋(外文原版) |
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