NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Handbook of machine learning for computational optimization : (Record no. 4859)

MARC details
000 -LEADER
fixed length control field 03456cam a22004938i 4500
001 - CONTROL NUMBER
control field 9781003138020
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240213122825.0
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 |||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210413s2021 flu ob 001 0 eng
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003138020
Qualifying information (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1003138020
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000455687
Qualifying information (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000455688
Qualifying information (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000455670
Qualifying information (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 100045567X
Qualifying information (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780367685423
Qualifying information (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780367685454
Qualifying information (paperback)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1248599771
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1248599771
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC
Subject category code subdivision 029000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UY
Source bicssc
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23
245 00 - TITLE STATEMENT
Title Handbook of machine learning for computational optimization :
Remainder of title applications and case studies /
Statement of responsibility, etc. Vishal Jain, Sapna Juneja, Abhinav Juneja, Ramani Kannan.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boca Raton :
Name of producer, publisher, distributor, manufacturer CRC Press,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
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
490 0# - SERIES STATEMENT
Series statement Demystifying technologies for computational excellence
505 2# - FORMATTED CONTENTS NOTE
Formatted contents note Random variables in machine learning / Dr. Piratla Srihari -- Analysis of EMG signals using extreme learning machine with nature inspired feature selection techniques / A. Anitha and Bakiya Ambikapathy -- Detection of breast cancer by using various machine learning and deep learning algorithms / Yogesh Jadhav, Harsh Mathur -- Assessing the radial efficiency performance of bus transport sector using data envelopment analysis / Swati Goyal, Shivi Agarwal, Trilok Mathur and Nirbhay Mathur.
520 ## - SUMMARY, ETC.
Summary, etc. "Technology is moving at an exponential pace in this era of computational intelligence. Machine Learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new Machine Learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach which makes Machine Learning a promising tool for processes and sustainable solutions. It also promotes newer algorithms which are more efficient and reliable for new dimensions in discovering other applications and then goes on to discuss the potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making. Individuals looking for Machine Learning based knowledge will find interest in this handbook. The readership ranges from undergraduate students of engineering and allied courses to researchers, professionals, and application designers"--
Assigning source Provided by publisher.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
General subdivision Industrial applications.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical optimization
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element TECHNOLOGY / Operations Research
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jain, Vishal,
Dates associated with a name 1983-
Relator term editor.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier <a href="https://www.taylorfrancis.com/books/9781003138020">https://www.taylorfrancis.com/books/9781003138020</a>
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a>

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