Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : (Registro n. 2704)

Detalhes MARC
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Campo de controle BR-SpNIC
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010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
Número de controle da LC 2023549175
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
Número da bibliografia nacional GBC2G2773
Fonte bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Número de controle do registro 020744694
Fonte Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781098125974
Termos de avaliação (paperback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1098125975
Termos de avaliação (paperback)
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Número de controle do sistema (OCoLC)on1346503549
040 ## - CATALOGING SOURCE
Código da agência catalogadora UKMGB
Idioma da catalogação eng
Fontes convencionais de descrições de dados rda
Agência que transcreveu o registro em formato legível por máquina UKMGB
Agência que alterou o registro YDX
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042 ## - AUTHENTICATION CODE
Código de autenticação lccopycat
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.73.P98
Item number G45 2023
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Número da Classificação 006.31
Número da edição 23
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
CDD 006.31
Cutter G377h
100 1# - MAIN ENTRY--PERSONAL NAME
Nome pessoal Géron, Aurélien,
Termo de relação author.
245 10 - TITLE STATEMENT
Título principal Hands-on machine learning with Scikit-Learn, Keras and TensorFlow :
Subtítulo concepts, tools, and techniques to build intelligent systems /
Indicação de responsabilidade Aurélien Géron.
250 ## - EDITION STATEMENT
Edição 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
Extensão xxv, 834 pages :
Detalhes físicos adicionais illustrations (chiefly color) ;
Dimensions 24 cm
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500 ## - GENERAL NOTE
Nota geral Previous editions: 2019, 2017.
505 0# - FORMATTED CONTENTS NOTE
Nota de conteúdo 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
Cabeçalho tópico ou nome geográfico Python (Computer program language)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Cabeçalho tópico ou nome geográfico Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Cabeçalho tópico ou nome geográfico Artificial intelligence.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Cabeçalho tópico ou nome geográfico Apprentissage automatique.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Cabeçalho tópico ou nome geográfico Python (Langage de programmation)
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Cabeçalho tópico ou nome geográfico Intelligence artificielle.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Cabeçalho tópico ou nome geográfico artificial intelligence.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Cabeçalho tópico ou nome geográfico Artificial intelligence
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Cabeçalho tópico ou nome geográfico Machine learning
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Cabeçalho tópico ou nome geográfico Python (Computer program language)
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Source of classification or shelving scheme Dewey Decimal Classification
Tipo de material Livro
Call number prefix 006.31
Call number suffix G377h
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Date last seen Número de inventário Total Checkouts Número de chamada Tombo Copy number Preço efetivo a partir de Tipo de material Exemplar extraviado Fonte da classificação ou esquema Estado danificado Não pode emprestar Código da coleção Status de retirada Localização permanente Localização atual Data de aquisição
07/08/2024 3068020824   006.31 G377h 30689781098125974 EX. 1 07/08/2024 Livro   Dewey Decimal Classification   Disponível Coleção Principal   Biblioteca NIC.br Biblioteca NIC.br 02/08/2024
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