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Machine learning : an algorithmic perspective / Stephen Marsland.

By: Material type: TextTextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublication details: New York, CRC Press, c2016.Edition: Second editionDescription: xx, 437 pages : illustrations ; 25 cmISBN:
  • 9781466583283 (hbk)
  • 1466583282 (hbk)
Subject(s): DDC classification:
  • 006.31
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 Call number Status Date due Barcode
General Books General Books CUTN Central Library Sciences 006.31 (Browse shelf(Opens below)) Checked out to Rakhee Gupta (P231313) 27/05/2024 25829

"A Chapman & Hall book."

Includes bibliographical references and index.

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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