| Document Type
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BL
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| Record Number
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654265
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| Doc. No
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dltt
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| Main Entry
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Alpaydin, Ethem
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| Title & Author
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Introduction to machine learning /\ Ethem Alpaydin.
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| Edition Statement
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Third edition.
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| Series Statement
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Adaptive computation and machine learning
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| Page. NO
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xxii, 613 pages :: illustrations ;; 24 cm.
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| ISBN
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9780262028189
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: 0262028182
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| Bibliographies/Indexes
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Includes bibliographical references (page 203) and index.
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| Contents
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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.
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| Abstract
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The goal of machine learning is to program computers to use example data or past experience to solve a given problem. This is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts.
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| Subject
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Machine learning.
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| LC Classification
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Q325.5.A46 2014
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