Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : (Record no. 12154)

MARC details
000 -LEADER
fixed length control field 01742nam a22002897a 4500
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhULA
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240116093614.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240116b ii ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355421982
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9355421982
040 ## - CATALOGING SOURCE
Original cataloging agency BD-DhULA
Transcribing agency BD-DhULA
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 005.262
Item number GEH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Geron, Aurelien
9 (RLIN) 1577
245 ## - 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. by Aurelien Geron
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Mumbai, India :
Name of publisher, distributor, etc. O'Reilly,
Date of publication, distribution, etc. c2023.
300 ## - PHYSICAL DESCRIPTION
Extent xxv, 834 p. :
Other physical details ill. ;
Dimensions 23 cm.
500 ## - GENERAL NOTE
General note Includes index.
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."-- Page 4 of cover
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name CSE
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python
9 (RLIN) 1578
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
9 (RLIN) 1579
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 1580
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CSE
9 (RLIN) 260
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science and Engineering
9 (RLIN) 477
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type BOOK
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan ULAB Library ULAB Library Text Book Area - CSE Dept. 12.01.2024 Omni Concept 4252.50   005.262 GEH 21500 16.01.2024 1 16.01.2024 BOOK
    Dewey Decimal Classification   Not For Loan ULAB Library ULAB Library Text Book Area - CSE Dept. 12.01.2024 Omni Concept 4252.50   005.262 GEH 21501 16.01.2024 2 16.01.2024 BOOK
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