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Machine learning : an algorithmic perspective / Stephen Marsland.

By: Material type: TextTextSeries: 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
Item type Current library Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing 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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