Handbook of machine learning for computational optimization : (Record no. 71365)

000 -LEADER
fixed length control field 03512cam a22005058i 4500
001 - CONTROL NUMBER
control field 9781003138020
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711212457.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210413s2021 flu ob 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781003138020
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1003138020
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000455687
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000455688
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000455670
-- (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 100045567X
-- (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (paperback)
082 00 - CLASSIFICATION NUMBER
Call Number 006.3/1
245 00 - TITLE STATEMENT
Title Handbook of machine learning for computational optimization :
Sub Title applications and case studies /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource.
490 0# - SERIES STATEMENT
Series statement Demystifying technologies for computational excellence
505 2# - FORMATTED CONTENTS NOTE
Remark 2 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"--
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Industrial applications.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing.
700 1# - AUTHOR 2
Author 2 Jain, Vishal,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781003138020
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Boca Raton :
-- CRC Press,
-- 2021.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
520 ## - SUMMARY, ETC.
-- Provided by publisher.
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical optimization
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- TECHNOLOGY / Operations Research

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