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Machine Learning in Industry

Machine Learning in Industry

by Shubhabrata Datta and J. Paulo Davim
Paperback
Publication Date: 08/08/2022

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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.
ISBN:
9783030758493
9783030758493
Category:
Production engineering
Format:
Paperback
Publication Date:
08-08-2022
Publisher:
Springer Nature Switzerland AG
Country of origin:
Switzerland
Pages:
197
Dimensions (mm):
235x155mm
Weight:
0.33kg

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