Handbook of machine learning for computational optimization : (Record no. 71365)
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000 -LEADER | |
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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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