Encyclopedia of Machine Learning / Encyclopedia of Machine Learning
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Beschreibung
This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.
This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references.Topics for the Encyclopedia of Machine Learning were selected by a distinguished international advisory board. These peer-reviewed, highly-structured entries include definitions, illustrations, applications, bibliographies and links to related literature, providing the reader with a portal to more detailed information on any given topic.The style of the entries in the Encyclopedia of Machine Learning is expository and tutorial, making the book a practical resource for machine learning experts, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.The authoritative reference is published both in print and online. The print publication includes an index of subjects and authors. The online edition supplements this index with hyperlinks as well as internal hyperlinks to related entries in the text, CrossRef citations, and links to additional significant research.
-Over 250 entries covering key concepts and terms in the broad field of machine learning. Entries include in-depth essays and definitions, historical background, key applications, and bibliographies-Extensive cross-references support efficient, user-friendly searchers for immediate access to useful information-Serves to open the field to those inquiring into this fast-growing area of research
Comprehensive in scope and accessible in format, the Encyclopedia of Machine Learning provides a sophisticated, compact source of relevant information that spans this broad and growing field. Each peer-reviewed entry includes a definition, key words, an illustration, applications, a bibliography, and more. The style is expository and tutorial, making the Encyclopedia a practical resource for high-performance computing experts as well as for professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest. Most of the several hundred entries in this trailblazing work include useful literature references, providing a portal for readers who wish to pursue more detailed information on a topic. The only reference of its kind currently in publication, the Encyclopedia of Machine Learning benefits a wide audience of specialists, students, professionals in related fields and more casual readers.
Autor*in
Claude Sammut