Central Library, IISER Berhampur

Hands-on machine learning with scikit-learn, keras, and tensorflow : (Record no. 2998)

MARC details
000 -LEADER
fixed length control field 02406nam a2200301Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250416020503.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230817s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355421982
040 ## - CATALOGING SOURCE
Transcribing agency IISER BPR
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title Eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number GOR
Edition number 23rd
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Géron, Aurélien
9 (RLIN) 450
245 #0 - TITLE STATEMENT
Title Hands-on machine learning with scikit-learn, keras, and tensorflow :
Remainder of title Concepts, tools and techniques to build intelligent systems
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Navi Mumbai:
Name of publisher, distributor, etc Shroff Publishers & Distributors Pvt. Ltd,
Date of publication, distribution, etc c2023.
300 ## - PHYSICAL DESCRIPTION
Extent xxv, 835p. :
Other physical details ill (col), (pbk). ;
Dimensions 23cm.
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.<br/><br/>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.<br/><br/>Use scikit-learn to track an example machine learning project end to end<br/>Explore several models, including support vector machines, decision trees, random forests, and ensemble methodsExploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection<br/>Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, and transformers<br/>Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning<br/>Train neural nets using multiple GPUs and deploy them at scale using Google's Vertex AI<br/><br/>Includes appendices and index.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Sciences
9 (RLIN) 451
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Special Computer Methods
9 (RLIN) 452
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning
9 (RLIN) 453
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Koha issues (borrowed), all copies 7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Source of classification or shelving scheme Dewey Decimal Classification
947 ## - LOCAL PROCESSING INFORMATION (OCLC)
a 3000
947 ## - LOCAL PROCESSING INFORMATION (OCLC)
a 3000
948 ## - LOCAL PROCESSING INFORMATION (OCLC); SERIES PART DESIGNATOR (RLIN)
Series part designator, SPT (RLIN) 22
948 ## - LOCAL PROCESSING INFORMATION (OCLC); SERIES PART DESIGNATOR (RLIN)
Series part designator, SPT (RLIN) 22
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 Checked out Date last seen Date checked out Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Vigyanpuri Campus Vigyanpuri Campus 03/01/2024 29 2340.00 9 10 006.31 GOR 006293 24/07/2025 09/07/2025 09/07/2025 3000.00 03/01/2024 Books