Machine learning in industry / Shubhabrata Datta, J. Paulo Davim, editors.
Datta, Shubhabrata, 1965- editor; Davim, J. Paulo, editor
2022
Q325.5
Available Online

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Title Machine learning in industry / Shubhabrata Datta, J. Paulo Davim, editors.
ISBN 9783030758479 (electronic bk.)
3030758478 (electronic bk.)
303075846X
9783030758462
DOI https://doi.org/10.1007/978-3-030-75847-9
Publication Details Cham, Switzerland : Springer, ©2022.
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-75847-9 doi
Call Number Q325.5
Dewey Decimal Classification 006.3/1
Summary 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.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed August 2, 2021).
Added Author Datta, Shubhabrata, 1965- editor
Davim, J. Paulo, editor
Series Management and industrial engineering, 2365-0532
Available in Other Form Machine learning in industry.
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