Machine Learning in Industry (1st ed. 2022) (Management and Industrial Engineering)
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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.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030758479
- Related ISBNs:
- 9783030758462
- Publisher:
- Springer International Publishing
- Date of Addition:
- 07/24/21
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Shubhabrata Datta
- Edited by:
- J. Paulo Davim
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- by Shubhabrata Datta
- by J. Paulo Davim
- in Nonfiction
- in Computers and Internet
- in Technology