Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : (Record no. 24537)

000 -LEADER
fixed length control field 01768nam a22003017a 4500
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhULA
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240116093815.0
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
9 (RLIN) 4756
Personal name Geron, Aurelien
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. (IMPRINT)
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
590 ## - LOCAL NOTE (RLIN)
Local note(Name of catalogher) 424018
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1223
Topical term or geographic name as entry element Python
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4757
Topical term or geographic name as entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 2284
Topical term or geographic name as entry element Artificial Intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1531
Topical term or geographic name as entry element CSE
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1532
Topical term or geographic name as entry element Computer science and engineering
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
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
No No   No Yes 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
No No   No Yes 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


Developed By: ULAB IT
Copyright © ULAB Library 2017-2021
University of Liberal Arts Bangladesh
Library Home | Library Staff | Contact

Powered by Koha