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Machine Learning in Industry (2022)

Contributor(s): Datta, Shubhabrata (Editor), Davim, J Paulo (Editor)

ISBN: 9783030758462

Publisher: Springer

Hardcover
$199.99
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Pub Date: July 25, 2021

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.50" H x 9.21" L x 6.14" W ( 1.03 lbs) 197 pages

Series: Management and Industrial Engineering

Descriptions, Reviews, etc.

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.

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