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 |