Machine learning / Tom M. Mitchell
By: Mitchell, Tom Michael [autor]
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Series: McGraw-Hill series in computer science.New Delhi : McGraw-Hill, 2013 (reprinted 2017)Edition: Mc Graw Hill education (India) 2013.Description: xvii, 414 pages. : illustrations ; 23 cm.Content type: texto Media type: no mediado Carrier type: volumenISBN: 1259096955; 9781259096952.Subject(s): Machine learning | Computer algorithms | Aprendizaje por máquina | Algoritmos genéticos | Algoritmos por computador | Teoría de las maquinasDDC classification: 006.31 / | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Libros
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Biblioteca Central Book Cart | General | 006.31 / M681m (Browse shelf) | Ej. 1 | Available | 900000016535 |
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| 005.8 / G215b Big data : | 006.22 / T692a Arduino : | 006.3 / Ar784a Artificial Intelligence and Heuristic Methods in Bioinformatics | 006.31 / M681m Machine learning / | 006.7 / P192l Linkedln práctico y profesional / | 006.7 / Sco47h Hipermediaciones. Elementos para una Teoría de la Comunidad Digital Interactiva / Carlos Scolari | 006.74 / C279h HTML5 and CSS3 |
Includes bibliographical references and indexes
Well-posed learning problems -- Designing a learning system -- Concept learning and the general-to-specific ordering -- Decision tree learning -- Artificial neural networks -- Evaluating hypotheses -- Bayesian learning -- Computational learning theory -- Instance-based learning -- Genetic algorithms -- Learning sets of rules -- Analytical learning -- Combining inductive and analytical learning -- Reinforcement learning --
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