Machine Learning in Industry
Download or Read eBook Machine Learning in Industry PDF written by Shubhabrata Datta and published by Springer Nature. This book was released on 2021-07-24 with total page 202 pages. Available in PDF, EPUB and Kindle.
Author | : Shubhabrata Datta |
Publisher | : Springer Nature |
Total Pages | : 202 |
Release | : 2021-07-24 |
ISBN-10 | : 9783030758479 |
ISBN-13 | : 3030758478 |
Rating | : 4/5 (79 Downloads) |
Book Synopsis Machine Learning in Industry by : Shubhabrata Datta
Book excerpt: 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.