NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Advanced analytics and deep learning models / (Record no. 12886)

MARC details
000 -LEADER
fixed length control field 04170cam a2200601 i 4500
001 - CONTROL NUMBER
control field on1314853913
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240523125544.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220508t20222022njua ob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency YDX
Language of cataloging eng
Description conventions rda
Transcribing agency YDX
Modifying agency YDX
-- OCLCQ
-- DG1
-- OCLCF
-- ORMDA
-- OCLCQ
-- OCLCO
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119792437
Qualifying information (electronic book)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119792436
Qualifying information (electronic book)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119792413
Qualifying information (electronic book)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 111979241X
Qualifying information (electronic book)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 1119791758
Qualifying information (hardcover)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119791751
Qualifying information (hardcover)
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier AU@
System control number 000073207946
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1314853913
037 ## - SOURCE OF ACQUISITION
Stock number 9781119791751
Source of stock number/acquisition O'Reilly Media
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.73
Item number .A38 2022
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23/eng/20220511
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
245 00 - TITLE STATEMENT
Title Advanced analytics and deep learning models /
Statement of responsibility, etc. edited by Archana Mire, Shaveta Malik and Amit Kumar Tyagi.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken, NJ :
Name of producer, publisher, distributor, manufacturer John Wiley & Sons,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice �2022
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Online resource; title from digital title page (viewed on May 11, 2022).
520 ## - SUMMARY, ETC.
Summary, etc. Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.
590 ## - LOCAL NOTE (RLIN)
Local note John Wiley and Sons
Provenance (VM) [OBSOLETE] Wiley Online Library: Complete oBooks
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Deep learning (Machine learning)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Apprentissage profond.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Intelligence artificielle.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Donn�ees volumineuses.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element artificial intelligence.
Source of heading or term aat
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Deep learning (Machine learning)
Source of heading or term fast
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mire, Archana,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Malik, Shaveta,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tyagi, Amit Kumar,
Relator term editor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 1119791758
-- 9781119791751
Record control number (OCoLC)1252050379
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119792437">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119792437</a>
938 ## -
-- YBP Library Services
-- YANK
-- 302872328
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-- 92
-- INLUM

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