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Hands-on machine learning with Sciki...

Geron, Aurelien.

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Hands-on machine learning with Scikit-Learn and TensorFlow : = concepts, tools, and techniques to build intelligent systems /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Hands-on machine learning with Scikit-Learn and TensorFlow :/ Aurélien Géron.
其他題名:	concepts, tools, and techniques to build intelligent systems /
作者:	Géron, Aurélien.
其他作者:	Geron, Aurelien.
出版者:	Sebastopol, CA :O'Reilly Media, : 2017.,
面頁冊數:	xx, 549 p. :ill. ;24 cm.
標題:	Machine learning. -
ISBN:	9781491962299

Hands-on machine learning with Scikit-Learn and TensorFlow : = concepts, tools, and techniques to build intelligent systems /
Géron, Aurélien.

Hands-on machine learning with Scikit-Learn and TensorFlow :concepts, tools, and techniques to build intelligent systems /Aurélien Géron. - 1st ed. - Sebastopol, CA :O'Reilly Media,2017. - xx, 549 p. :ill. ;24 cm.

Includes bibliographical references and index.

The machine learning landscape --

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

ISBN: 9781491962299UK39.99Subjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5 / .G47 2017

Dewey Class. No.: 006.31

Hands-on machine learning with Scikit-Learn and TensorFlow : = concepts, tools, and techniques to build intelligent systems /
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020 $a 9781491962299 $q (pbk.) : $c UK39.99
020 $a 1491962291 $q (pbk.)
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050 # 4 $a Q325.5 $b .G47 2017
082 0 4 $a 006.31 $2 23
100 1 $a Géron, Aurélien. $3 3272059
245 1 0 $a Hands-on machine learning with Scikit-Learn and TensorFlow : $b concepts, tools, and techniques to build intelligent systems / $c Aurélien Géron.
250 $a 1st ed.
260 # $a Sebastopol, CA : $b O'Reilly Media, $c 2017.
300 $a xx, 549 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 # $t The machine learning landscape -- $t End-to-end machine learning project -- $t Classification -- $t Training models -- $t Support vector machines -- $t Decision trees -- $t Ensemble learning and random forests -- $t Dimensionality reduction -- $t Up and running with TensorFlow -- $t Introduction to artificial neural networks -- $t Training deep neural nets -- $t Distributing TensorFlow across devices and servers -- $t Convolutional neural networks -- $t Recurrent neural networks -- $t Autoencoders -- $t Reinforcement learning -- $t Exercise solutions -- $t Machine learning project checklist -- $t SVM dual problem -- $t Autodiff -- $t Other popular ANN architectures.
520 # $a Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
650 # 0 $a Machine learning. $3 533906
650 # 0 $a Artificial intelligence. $3 516317
700 1 $a Geron, Aurelien. $3 3274106