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Introduction to machine learning / Ethem Alpaydin.

By: Material type: TextTextSeries: Adaptive computation and machine learningPublication details: New Delhi : PHI Learning, c2014.Edition: Third editionDescription: xxii, 613 pages : illustrations ; 24 cmISBN:
  • 9788120350786
Subject(s): DDC classification:
  • 006.31 23 ALI
Contents:
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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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books Central Library, SUST General Stacks 006.31 ALI (Browse shelf(Opens below)) 1 Available 0066388
Books Books Central Library, SUST General Stacks 006.31 ALI (Browse shelf(Opens below)) 2 Available 0066389

Includes bibliographical references (page 203) and index.

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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