Machine Learning in Industry (Hardcover, 1st ed. 2022)

This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Management and Industrial Engineering
Release date:	July 2021
First published:	2022
Editors:	Shubhabrata Datta • J. Paulo Davim
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	197
Edition:	1st ed. 2022
ISBN-13:	978-3-03-075846-2
Categories:	Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-075846-X
Barcode:	9783030758462

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