Ubicación Física: 006.31 / A456
Introduction to machine learning / | |
Autor: | Alpaydin, Ethem. |
Pié de imprenta: | Massachusetts : : The Mit Press, 2010. |
Edición: | 2a. ed. |
Descripción: | 537 p. |
ISBN: | 9780262012430. |
Tema(s): | |
Contenido: | Introduction. Supervised learning. Bayesian decision theory. Parametric methods. Dimensionality reduction. Clustering. Nonparametric methods. Decision trees. Linear discrimination. Multilayer perceptions. Local models. Kernel machines. Bayesian estimation. Hidden Markov models. Graphical models. Combining multiple learners. Reinforcement learning. Design and analysis of machine learning experiments. Probability. |
Tipo de ítem | Ubicación actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro - General | BIBLIOTECA SEDE LA CARO Depósito | Colección General | 006.31 / A456 (Navegar estantería) | Ej. 1 | Disponible | 49363 | |
Libro - General | BIBLIOTECA SEDE LA CARO Depósito | Colección General | 006.31 / A456 (Navegar estantería) | Ej. 2 | Disponible | 49364 |
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006.3 / D918 Teamwork in multi-agent systems : a formal approach / | 006.3 / M681 Machine learning / | 006.3 / M681 Machine learning / | 006.31 / A456 Introduction to machine learning / | 006.31 / A456 Introduction to machine learning / | 006.31 / H356 The elements of statistical learning : data mining, inference, and prediction / | 006.31 / H356 The elements of statistical learning : data mining, inference, and prediction / |
Introduction. Supervised learning. Bayesian decision theory. Parametric methods. Dimensionality reduction. Clustering. Nonparametric methods. Decision trees. Linear discrimination. Multilayer perceptions. Local models. Kernel machines. Bayesian estimation. Hidden Markov models. Graphical models. Combining multiple learners. Reinforcement learning. Design and analysis of machine learning experiments. Probability.
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