Название: Machine Learning in Industry Автор: Shubhabrata Datta, J. Paulo Davim Издательство: Springer Год: 2022 Формат: PDF Страниц: 202 Размер: 10 Mb Язык: English
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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Machine Learning in Industry 
