Introduction to machine learning /
Alpaydin, Ethem
Introduction to machine learning / Ethem Alpaydin - 2a. ed. - 537 p. 2
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.
Sistemas
9780262012430
APRENDIZAJE AUTOMATICO
INTELIGENCIA ARTIFICIAL
PROCESAMIENTO ELECTRONICO DE DATOS
PROGRAMACION [MATEMATICAS]
006.31
Introduction to machine learning / Ethem Alpaydin - 2a. ed. - 537 p. 2
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.
Sistemas
9780262012430
APRENDIZAJE AUTOMATICO
INTELIGENCIA ARTIFICIAL
PROCESAMIENTO ELECTRONICO DE DATOS
PROGRAMACION [MATEMATICAS]
006.31