Machine Learning: Theory to Applications
Author:   Seyedeh Leili Mirtaheri (Electrical and Computer Engineering dept, Kharazmi University, Iran) ,  Reza Shahbazian
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367634537


Pages:   202
Publication Date:   29 September 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Machine Learning: Theory to Applications


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Author:   Seyedeh Leili Mirtaheri (Electrical and Computer Engineering dept, Kharazmi University, Iran) ,  Reza Shahbazian
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.720kg
ISBN:  

9780367634537


ISBN 10:   0367634538
Pages:   202
Publication Date:   29 September 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction 2. Linear Algebra 3. Machine Learning 4. Some Practical Notes 5. Deep Learning 6. Generative Adversarial Networks 7. Implementation

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Author Information

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.

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