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Machine learning : = an algorithmic ...

Marsland, Stephen.

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Machine learning : = an algorithmic perspective /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine learning :/ Stephen Marsland.
其他題名:	an algorithmic perspective /
作者:	Marsland, Stephen.
出版者:	Boca Raton :CRC Press, : 2015.,
面頁冊數:	xx, 437 p. :ill. ;25 cm.
附註:	"A Chapman & Hall book.".
標題:	Machine learning. -
ISBN:	9781466583283

Machine learning : = an algorithmic perspective /
Marsland, Stephen.

Machine learning :an algorithmic perspective /Stephen Marsland. - Second edition. - Boca Raton :CRC Press,2015. - xx, 437 p. :ill. ;25 cm. - Chapman & Hall/CRC machine learning & pattern recognition series..

"A Chapman & Hall book.".

Includes bibliographical references and index.

Introduction --

ISBN: 9781466583283GBP49.99

LCCN: 2014434325Subjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5 / .M368 2015

Machine learning : = an algorithmic perspective /
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020 $a 9781466583283 $q (hbk.) : $c GBP49.99
020 $a 1466583282 $q (hbk.)
020 $a 1466583363 $q (ebk.)
020 $a 9781466583368 $q (ebk.)
020 $a 1466583339 $q (ebk.)
020 $a 9781466583337 $q (ebk.)
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050 0 0 $a Q325.5 $b .M368 2015
100 1 $a Marsland, Stephen. $3 1535366
245 1 0 $a Machine learning : $b an algorithmic perspective / $c Stephen Marsland.
250 $a Second edition.
260 # $a Boca Raton : $b CRC Press, $c 2015.
300 $a xx, 437 p. : $b ill. ; $c 25 cm.
490 1 0 $a Chapman & Hall/CRC machine learning & pattern recognition series.
500 $a "A Chapman & Hall book.".
504 $a Includes bibliographical references and index.
505 0 # $t Introduction -- $t Preliminaries -- $t Neurons, neural networks, and linear discriminants -- $t The multi-layer perceptron -- $t Radial basis functions and splines -- $t Dimensionality reduction -- $t Probabilistic learning -- $t Support vector machines -- $t Optimisation and search -- E $t volutionary learning -- $t Reinforcement learning -- $t Learning with trees -- $t Decision by committee : ensemble learning -- $t Unsupervised learning -- $t Markov chain Monte Carlo (MCMC) methods -- $t Graphical models -- $t Symmetric weights and deep belief networks -- $t Gaussian processes -- $t Python.
650 # 0 $a Machine learning. $3 533906
650 # 0 $a Algorithms. $3 536374