Vista normal
Vista MARC
Introduction to machine learning / Ethem Alpaydin.
Tipo de material:
TextoSeries Adaptive computation and machine learningEditor: Cambridge, Massachusetts : The MIT Press, 2014Fecha de copyright: ©2014Edición: Third editionDescripción: xxii, 613 páginas : ilustraciones ; 24 cmTipo de contenido: - texto
- sin mediación
- volumen
- 9780262028189
- 0262028182
- Q 325.5 A47.2014
Contenidos:
Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.
| Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
|---|---|---|---|---|---|---|---|---|
| Libros | Biblioteca Francisco Xavier Clavigero Acervo | Acervo General | Q 325.5 A47.2014 (Navegar estantería(Abre debajo)) | ej. 1 | Prestado | 2024-08-16 | UIA172006 |
Incluye referencias bibliográficas e índice.
Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.
