This comprehensive encyclopedia 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 in the field, its 500+ entries 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 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 an essential practical resource for high-performance computing experts, as well as professionals in other fields, who need quick access to vital information on the topic.
- ISBN: 978-1-4899-7687-1
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 1976
- Fecha Publicación: 19/11/2016
- Nº Volúmenes: 1
- Idioma: Inglés