مكتبة جامعة عجلون الوطنية

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Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : (Record no. 33805)

MARC details
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control field JO-AjAnu
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241020110058.0
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010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2023549175
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC2G2773
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 020744694
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781098125974
Qualifying information (paperback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1098125975
Qualifying information (paperback)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)on1346503549
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Original cataloging agency UKMGB
Language of cataloging eng
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Authentication code lccopycat
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.73.P98
Item number G45 2023
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Géron, Aurélien,
Relator term author.
Real World Object URI https://isni.org/isni/0000000418957775
245 10 - TITLE STATEMENT
Title Hands-on machine learning with Scikit-Learn, Keras and TensorFlow :
Remainder of title concepts, tools, and techniques to build intelligent systems /
Statement of responsibility, etc. Aurélien Géron.
250 ## - EDITION STATEMENT
Edition statement Third edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Beijing :
Name of producer, publisher, distributor, manufacturer O'Reilly Media, Inc.,
Date of production, publication, distribution, manufacture, or copyright notice 2023.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2023
300 ## - PHYSICAL DESCRIPTION
Extent xxv, 834 pages :
Other physical details illustrations (chiefly color) ;
Dimensions 24 cm
336 ## - CONTENT TYPE
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338 ## - CARRIER TYPE
Carrier type term volume
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500 ## - GENERAL NOTE
General note Previous editions: 2019, 2017.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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 ; Unsupervised learning techniques -- Neural networks and deep learning. Introduction to artificial neural networks with Keras ; Training deep neural networks ; Custom models and training with TensorFlow ; Loading and preprocessing data with TensorFlow ; Deep computer vision using convolutional neural networks ; Processing sequences using RNNs and CNNs ; Natural language processing with RNNs and attention ; Autoencoders, GANs, and diffusion models ; Reinforcement learning ; Training and deploying TensorFlow models at scale.
520 ## - SUMMARY, ETC.
Summary, etc. "Through a recent series of 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 best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started"--
Assigning source Page 4 of cover.
630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title TensorFlow.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Apprentissage automatique.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Langage de programmation)
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Intelligence artificielle.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element artificial intelligence.
Source of heading or term aat
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
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    Library of Congress Classification     مكتبة جامعة عجلون الوطنية مكتبة جامعة عجلون الوطنية 20/10/2024   QA76.73.P98.G45 2023 e3959 20/10/2024 20/10/2024 Books
    Library of Congress Classification     مكتبة جامعة عجلون الوطنية مكتبة جامعة عجلون الوطنية 20/10/2024   QA76.73.P98.G45 2023 e3960 20/10/2024 20/10/2024 Books