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Machine Learning in Industry

Edited by Shubhabrata Datta, Edited by J. Paulo Davim

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normal price: R 5 691.95

Price: R 5 122.95

| book 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.

| product details |



Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer Nature Switzerland AG
Published date | 26 Jul 2022
Language |
Format | Paperback / softback
Pages | 197
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0307-5849-3
Readership Age |
BISAC | technology / engineering / industrial

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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 7 690.95
 Price | R 6 921.95 | on special |

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