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书名：	Hands-on machine learning with Scikit-Learn & TensorFlow =
作者：	Aurélien Géron著.
分册号：
分册名：
出版地：
出版社：
出版时间：
页数：	xx, 543 pages :
开本：	24 cm.
丛书名：
中图分类号：
科图分类号：
其他分类号：	H31:TP181
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000	02216nam 2200361 a 4500
001	E1930084248
003	CAL
005	20190606093029.37
008	171101r20172017cc a b 001 0 eng d
020		@a9787564173715 :@cCNY98.00@qpaperback
035		@aCAL 022017115006
040		@aSCNU@beng@cSCNU@erda@dXJT
050	4	@aQ325.5@b.G47 2017
082	04	@a006.31@223
093		@aTP181@25
093		@aH31:TP181
099		@dH31:TP181@e4
100	1	@aGéron, Aurélien,@eauthor.
245	10	@aHands-on machine learning with Scikit-Learn & TensorFlow =@bScikit-Learn与TensorFlow机器学习实用指南 / @cAurélien Géron著.
246	3	@aHands-on machine learning with Scikit-Learn and TensorFlow
246	31	@aScikit-Learn与TensorFlow机器学习实用指南
264	1	@a南京 :@b东南大学出版社,@c2017.
300		@axx, 543 pages :@billustrations ;@c24 cm.
336		@atext@2rdacontent
337		@aunmediated@2rdamedia
338		@avolume@2rdacarrier
504		@aIncludes bibliographical references and index.
505	0	@aThe fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction -- Neural networks and deep learning. Up and running with TensorFlow ; Introduction to artificial neural networks ; Training deep neural nets ; Distributing TensorFlow across devices and servers ; Convolutional neural networks ; Recurrent neural networks ; Autoencoders ; Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures.
520		@aThrough 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.
534		@pReprint. Originally published:@cSebastopol, CA : O'Reilly Media, 2017.@z9781491962299 (pbk.)
650	0	@aMachine learning.
650	0	@aArtificial intelligence.
650	0	@a英语

Hands-on machine learning with Scikit-Learn & TensorFlow = : Scikit-Learn与TensorFlow机器学习实用指南 / / Aurélien Géron著.

xx, 543 pages : : illustrations ; ; 24 cm.

Includes bibliographical references and index.-The fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction -- Neural networks and deep learning. Up and running with TensorFlow ; Introduction to artificial neural networks ; Training deep neural nets ; Distributing TensorFlow across devices and servers ; Convolutional neural networks ; Recurrent neural networks ; Autoencoders ; Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures.-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 9787564173715 :CNY98.00

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.

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序号	登录号	条形码	馆藏地/架位号	状态	备注
1	0009226	300092263	样本书库/ [索取号:H31:TP181/4]	在馆
2	0009227	300092272	西文书库/4110980101/ [索取号:H31:TP181/4]	在馆