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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 Kumari Gupta (P231313) 02/04/2024 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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