Industry 4.0, AI, and data science : (Record no. 35829)

MARC details
000 -LEADER
fixed length control field 02554cam a22003858i 4500
001 - CONTROL NUMBER
control field 21890298
003 - CONTROL NUMBER IDENTIFIER
control field UNISSA
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240525095517.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210202s2021 flu b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2021004328
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367562854 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency UNISSA
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number T59.6
Item number I53
245 00 - TITLE STATEMENT
Title Industry 4.0, AI, and data science :
Remainder of title research trends and challenges /
Statement of responsibility, etc edited by Vikram Bali, Kakoli Banerjee, Narendra Kumar, Sanjay Gour, and Sunil Kumar Chawla
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2107
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton, FL :
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc 2022
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc ©2022
300 ## - PHYSICAL DESCRIPTION
Extent xv, 261 pages :
Other physical details illustrations ;
Dimensions 24 cm.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement Demystifying technologies for computational excellence
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index
520 ## - SUMMARY, ETC.
Summary, etc "The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide"--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Industry 4.0.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bali, Vikram,
Relator term editor
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Banerjee, Kakoli,
Relator term editor
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kumar, Narendra
Relator term editor
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gour, Sanjay
Relator term author
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Online version:
Title Industry 4.0, AI, and data science
Edition First edition
Place, publisher, and date of publication Boca Raton, FL : CRC Press, 2021
International Standard Book Number 9781003097181
Record control number (DLC) 2021004329
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type General T(Technology) - 1st floor
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Universiti Islam Sultan Sharif Ali Universiti Islam Sultan Sharif Ali First Floor (Gadong Campus) 17/04/2024   T59.6 I34 2022 c.1 1050069744 17/04/2024 1 17/04/2024 General T(Technology) - 1st floor
    Library of Congress Classification     Universiti Islam Sultan Sharif Ali Universiti Islam Sultan Sharif Ali First Floor (Gadong Campus) 17/04/2024   T59.6 I34 2022 c.2 1050069745 17/04/2024 2 17/04/2024 General T(Technology) - 1st floor

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