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Machine learning in industry [electronic resource] / 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 [electronic resource] / 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
Published
Cham, Switzerland : Springer, [2022]
Copyright
©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.
Available in Other Form
Machine learning in industry.
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All Resources
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