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020 a| 9780367685423q| (hardback);

020 a| 9780367685454q| (paperback);

020 z| 9781003138020q| (ebook);

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245 00 a| Handbook of machine learning for computational optimizationh| [electronic resource] :b| applications and case studies /c| edited by Vishal Jain, Sapna Juneja, Abhinav Juneja, and Ramani Kannan.;

250 a| First edition.;

260 a| Boca Raton :b| CRC Press, Taylor & Francis Group,c| 2022.;

300 a| xiv, 280 pages :b| illustrations ;c| 25 cm.;

490 0 a| Demystifying technologies for computational excellence: moving towards society 5.0;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Machine learningx| Industrial applications.=| ^A145211;

650 0 a| Mathematical optimizationx| Data processing.=| ^A121737;

650 0 a| Artificial intelligence.=| ^A15394;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Jain, Vishal,d| 1983-?| UNAUTHORIZED;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003138020;

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Handbook of machine learning for computational optimization applications and case studies / edited by Vishal Jain, Sapna Juneja, Abhinav Juneja, and Ramani Kannan.

Other author	Jain, Vishal, 1983-
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton : CRC Press, Taylor & Francis Group, 2022.
Description	xiv, 280 pages : illustrations ; 25 cm.
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Machine learning--Industrial applications. Mathematical optimization--Data processing. Artificial intelligence.

Series	Demystifying technologies for computational excellence: moving towards society 5.0
Abstract	"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"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2021017098
ISBN	9780367685423 (hardback)
ISBN	9780367685454 (paperback)
ISBN	(ebook)

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Handbook of machine learning for computational optimization applications and case studies / edited by Vishal Jain, Sapna Juneja, Abhinav Juneja, and Ramani Kannan.

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