Please use this identifier to cite or link to this item: https://thuvienso.bvu.edu.vn/handle/TVDHBRVT/15955
Title: Introduction to Machine Learning
Authors: Alpaydin, Ethem
Keywords: Machine Learning
Issue Date: 2014
Publisher: MIT Press
Citation: 3rd Edition
Abstract: The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction 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.
Description: Pages: 640
URI: http://thuvienso.bvu.edu.vn/handle/TVDHBRVT/15955
ISBN: 0262028182
9780262028189
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