Machine Learning in Industry

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  • Machine Learning in Industry Book Detail

  • Author : Shubhabrata Datta
  • Release Date : 2021-07-24
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 202
  • ISBN 13 : 3030758478
  • File Size : 43,43 MB

Machine Learning in Industry by Shubhabrata Datta PDF Summary

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.

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Machine Learning in Industry

Machine Learning in Industry

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This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points