| 书目名称 | Encyclopedia of Machine Learning and Data Mining | | 编辑 | Claude Sammut,Geoffrey I. Webb | | 视频video | | | 概述 | Presents 800 entries covering key concepts and terms in the broad field of machine learning.Updates and informs through in-depth essays and definitions, historical background, key applications, and bi | | 图书封面 |  | | 描述 | This authoritative, expanded and updated second edition of .Encyclopedia of Machine Learning and Data Mining .provides easy access to core information for those seeking entry into any aspect within the broad field of Machine Learning and Data Mining. A paramount work, its 800 entries - about 150 of them newly updated or added - are filled with valuable literature references, providing the reader with a portal to more detailed information on any given topic..Topics for the .Encyclopedia of Machine Learning and Data Mining .include Learning and Logic, Data Mining, Applications, Text Mining, Statistical Learning, Reinforcement Learning, Pattern Mining, Graph Mining, Relational Mining, Evolutionary Computation, Information Theory, Behavior Cloning, and many others. Topics were selected by a distinguished international advisory board. Each peer-reviewed, highly-structured entry includes a definition, key words, an illustration, applications, a bibliography, and links to related literature..The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals who employ machine learning and data mining methods in their projects. M | | 出版日期 | Reference work 2017Latest edition | | 关键词 | Active learning; big data; clustering; computational learning theory; data mining; data visualisation; gra | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4899-7687-1 | | isbn_ebook | 978-1-4899-7687-1 | | copyright | Springer Science+Business Media New York 2017 |
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发表于 2025-3-21 17:05:08
