Machine Learning in Industry

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Synopsis

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.

Book details

Edition:
1st ed. 2022
Series:
Management and Industrial Engineering
Author:
Shubhabrata Datta, J. Paulo Davim
ISBN:
9783030758479
Related ISBNs:
9783030758462
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2021-07-25
Usage restrictions:
Copyright
Copyright date:
2022
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction, Technology