Machine Learning in Industry Hardback
Edited by Shubhabrata Datta, J. Paulo Davim
Part of the Management and Industrial Engineering series
Hardback
Description
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.
Information
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Out of stock
- Format:Hardback
- Pages:197 pages, 71 Illustrations, color; 12 Illustrations, black and white; X, 197 p. 83 illus., 71 illus
- Publisher:Springer Nature Switzerland AG
- Publication Date:25/07/2021
- Category:
- ISBN:9783030758462
Information
-
Out of stock
- Format:Hardback
- Pages:197 pages, 71 Illustrations, color; 12 Illustrations, black and white; X, 197 p. 83 illus., 71 illus
- Publisher:Springer Nature Switzerland AG
- Publication Date:25/07/2021
- Category:
- ISBN:9783030758462
