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Encyclopedia of machine learning and data mining. Volume 1, A-I. Volume 2, J-Z by Claude Sammut (Editor), Geoffrey I. Webb (Editor) is a nonfiction available to read on EtoBox.
What is Encyclopedia of machine learning and data mining. Volume 1, A-I. Volume 2, J-Z about?
"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. Machin
Who reads Encyclopedia of machine learning and data mining. Volume 1, A-I. Volume 2, J-Z?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Claude Sammut (Editor), Geoffrey I. Webb (Editor)
- Publisher
- Springer US : Imprint: Springer
- Published
- 2017
- Language
- EN
- ISBN
- 9781489976871
- Category
- nonfiction
- Subjects
- Science, Computer Science, Stem
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