Hands-on machine learning with Scikit-Learn and TensorFlow concepts, tools, and techniques to build intelligent systems (Record no. 56502)

MARC details
000 -LEADER
fixed length control field 02257nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200312140053.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200312b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789352139057
028 ## - DISTRIBUTOR NAME
Distributor Name Raghav Books Private Limited
Distributor address A-184 A, Nand Gram, Ghaziabad, U.P.
Bill Number 1805
Bill Date 07/03/2020
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 GER
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Aurélien Géron
245 ## - TITLE STATEMENT
Title Hands-on machine learning with Scikit-Learn and TensorFlow concepts, tools, and techniques to build intelligent systems
Statement of responsibility, etc /Aurélien Géron
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Sebastopol, CA
Name of publisher, distributor, etc : O'Reilly Media
Date of publication, distribution, etc , 2017
300 ## - PHYSICAL DESCRIPTION
Extent xx, 551 pages
Dimensions ; 24 cm
365 ## - TRADE PRICE
Price amount 2275
505 ## - FORMATTED CONTENTS NOTE
Contents note Part I. 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 --<br/>Part II. 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 --<br/>Exercise solutions --<br/>Machine learning project checklist --<br/>SVM dual problem --<br/>Autodiff --<br/>Other popular ANN architectures.
520 ## - SUMMARY, ETC.
Summary, etc 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. By using concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow--author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term Machine learning
Non-focus term Artificial intelligence
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Aurélien Géron
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Price effective from Koha item type
    Dewey Decimal Classification     SNU LIBRARY SNU LIBRARY 12/03/2020 Raghav Books Private Limited 2275.00 16 23 006.31 GER 27482 20/09/2026 15/05/2026 12/03/2020 Books
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