Machine Learning: Theory to Applications
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In summary, this book provides a comprehensive technological path from fundamental theories to the categorization of existing algorithms, covers state-of-the-art, practical evaluation tools and methods to empower you to use synthetic data to improve the performance of applications.
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Seyedeh Leili Mirtaheri is an assistant professor in the Electrical and Computer Engineering Department at Kharazmi University. She holds PhD degrees in computer engineering and also in operations research. She has authored several journal articles and conference proceedings and has also been an author/editor of several books. She has been a guest editor of the Journal of Supercomputing and also the reviewer of many credible journals.
Reza Shahbazian is an assistant professor of Standard Research Institute (Iran) and researcher at Unical. He holds PhD degrees in telecommunications and computer science. He has served as a postdoc researcher on applications of machine learning in telecommunication networks. He has authored several articles in journals and conference proceedings, book chapters and also authored or edited five books.
