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Machine learning : an algorithmic perspective
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TextPublication details: Boca Raton : [S.n.], 2009Description: xii; 390 p.; 14 cmISBN: - 978 1 4200 6718 7
| Item type | Home library | Call number | Status | Date due | Barcode | |
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Libro
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Biblioteca de la Facultad de Informática | I.1.2 MAR (Browse shelf(Opens below)) | Available | DIF-03727 |
CONTIENE: 1-- Introdution. 2-- Linear discriminants. 3-- The multi-layer percection. 4-- Radical basis function splines. 5-- Support vector machines. 6-- Learning with trees. 7-- Decision by committee: ensemble learning. 8-- Probability learning. 9-- Unsupervised Learning. 10-- Dimensionality reduction. 11-- Otimisation search. 12-- Evolutionary Learning. 13-- Reinforcement learning. 14-- Markov Chain monte Carlo (MCMC) Methods. 15-- Graphical models. 16-- Python
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