Machine Learning Algorithms and Applications in Engineering (Hardcover)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Smart and Intelligent Computing in Engineering
Release date:	2023
First published:	2023
Editors:	Prasenjit Chatterjee • Morteza Yazdani • Francisco Fernandez-Navarro • Javier Perez-Rodriguez
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	314
ISBN-13:	978-0-367-56912-9
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Professional & Technical > Civil engineering, surveying & building > General Books > Professional & Technical > Environmental engineering & technology > General Books > Professional & Technical > Transport technology > General Books > Computing & IT > General theory of computing > General Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	0-367-56912-4
Barcode:	9780367569129

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