A first course in machine learning / Simon Rogers; Mark Girolami.

By:

Rogers, Simon, author

Contributor(s):

Girolami, Mark, author

Material type:

TextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublication details: Boca Raton : CRC Press, c2017.Edition: Second editionDescription: xxix, 397 pages : illustrations (black and white) ; 24 cmISBN:

978-14-8738484 (Hardback)

Subject(s):

LOC classification:

CIR Q 325.5 R64 2017

Contents:

Linear Modelling: A Least Squares Approach. Linear Modelling: A Maximum Likelihood Approach. The Bayesian Approach to Machine Learning. Bayesian Inference. Classification. Clustering. Principal Components Analysis and Latent Variable Models. Further Topics in Markov Chain Monte Carlo. Classification and Regression with Gaussian Processes. Dirichlet Process models.

Summary: The new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edition includes three new chapters with more detailed discussion of Markov Chain Monte Carlo techniques, Classification and Regression with Gaussian Processes, and Dirichlet Process models.

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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	Cavite State University - CCAT Campus		Book	GCS	CIR Q 325.5 R64 2017 (Browse shelf(Opens below))				1	Available			R0011731

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Includes e-book access.
Previous edition: 2012.

"A Chapman & Hall book."

Includes bibliographical references and index.

The new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edition includes three new chapters with more detailed discussion of Markov Chain Monte Carlo techniques, Classification and Regression with Gaussian Processes, and Dirichlet Process models.

In English text.

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