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.