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dc.contributor.authorAlpaydin, Ethem-
dc.date.accessioned2023-05-15T08:14:12Z-
dc.date.available2023-05-15T08:14:12Z-
dc.date.issued2014-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/6659-
dc.description.abstractIntroduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.vi
dc.language.isoenvi
dc.publisherUK: Pearson,vi
dc.subjectMachine Learning | Học máyvi
dc.titleIntroduction to : Machine Learningvi
dc.typeSách/Bookvi
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