Bayesian reasoning and machine learning / David Barber.

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Material type: Text

TextLanguage: English Publication details: Cambridge ; New York : Cambridge University Press, 2012.Description: xxiv, 697 pages : illustrations ; 26 cmISBN:

9780521518147
0521518148
9781107439955

Subject(s):

DDC classification:

519.542 22 BAR

Contents:

I. Inference in Probabilistic Models II. Learning in Probabilistic Models III. Machine Learning IV. Dynamical Models V. Approximate Inference

Summary: "Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
General Books	CUTN Central Library Sciences	Non-fiction	519.542 BAR (Browse shelf(Opens below))	Available		36791

I. Inference in Probabilistic Models II. Learning in Probabilistic Models III. Machine Learning IV. Dynamical Models V. Approximate Inference

"Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science

Includes bibliographical references (pages 675 - 688) and index.

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