| 书目名称 | Encyclopedia of Machine Learning and Data Science | | 编辑 | Dinh Phung,Geoffrey I. Webb,Claude Sammut | | 视频video | | | 概述 | 800 entries covering key concepts and terms in the field of machine learning.Extensive cross-references support efficient, user-friendly searchers for immediate access to useful information.Serves to | | 图书封面 |  | | 描述 | .This authoritative, expanded and updated third 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 1000 entries – over 200 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 Science .include recent developments in Deep Learning, 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 dat | | 出版日期 | Living reference work 2020Latest edition | | doi | https://doi.org/10.1007/978-1-4899-7502-7 | | isbn_ebook | 978-1-4899-7502-7 |
The information of publication is updating
|
|
发表于 2025-3-21 17:52:16
