Machine learning algorithms and applications in engineering /

"Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and mod...

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Bibliographic Details
Other Authors: Chatterjee, Prasenjit, 1982- (Editor), Fernández-Navarro, Francisco (Fransisco de Asís) (Editor), Pérez-Rodríguez, Javier (Editor), Yazdani, Morteza (Editor)
Format: Book
Language:English
Published: Boca Raton : CRC Press, 2023
Boca Raton, FL : 2023
Edition:First edition
Series:Smart and intelligent computuing in engineering
Subjects:
Description
Summary:"Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical, transport, supply chain and logistics, to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks"--
Physical Description:1 online resource (xiv, 323 pages) : illustrations, maps
1 online resource
Bibliography:Includes bibliographical references and index
ISBN:1000642356
1000642380
1003104851
9781000642353
9781000642384
9781003104858