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Machine learning : an algorithmic perspective / Stephen Marsland.

By: Material type: TextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublication details: Boca Raton : CRC Press / Taylor & Francis Group, c.2015.Edition: 2nd edDescription: xx, 437 p. : ill. ; 25 cmISBN:
  • 9781466583283 (hbk)
  • 1466583282 (hbk)
Subject(s): Genre/Form: DDC classification:
  • 22 006.31 MAR
LOC classification:
  • Q325.5 .M368 2015
Contents:
Introduction -- Preliminaries -- Neurons, neural networks, and linear discriminants -- The multi-layer perceptron -- Radial basis functions and splines -- Dimensionality reduction -- Probabilistic learning -- Support vector machines -- Optimisation and search -- Evolutionary learning -- Reinforcement learning -- Learning with trees -- Decision by committee: ensemble learning -- Unsupervised learning -- Markov chain Monte Carlo (MCMC) methods -- Graphical models -- Symmetric weights and deep belief networks -- Gaussian processes -- Python.
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Book - Borrowing Central Library Lower Floor Alahram 006.31 MAR (Browse shelf(Opens below)) 312 Available 000038858
Total holds: 0

"A Chapman & Hall book."

Index : p. 431-437.

Includes bibliographical references.

Introduction -- Preliminaries -- Neurons, neural networks, and linear discriminants -- The multi-layer perceptron -- Radial basis functions and splines -- Dimensionality reduction -- Probabilistic learning -- Support vector machines -- Optimisation and search -- Evolutionary learning -- Reinforcement learning -- Learning with trees -- Decision by committee: ensemble learning -- Unsupervised learning -- Markov chain Monte Carlo (MCMC) methods -- Graphical models -- Symmetric weights and deep belief networks -- Gaussian processes -- Python.

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