Machine Learning
Theory to Applications
$282.40
- Hardcover
202 pages
- Release Date
29 September 2022
Summary
The book reviews core concepts of machine learning (ML) while focusing on modern applications. It is aimed at those who want to advance their understanding of ML by providing technical and practical insights. It does not use complicated mathematics to explain how to benefit from ML algorithms. Unlike the existing literature, this work provides the core concepts with emphasis on fresh ideas and real application scenarios. It starts with the basic concepts of ML and extends the concepts to the …
Book Details
| ISBN-13: | 9780367634537 |
|---|---|
| ISBN-10: | 0367634538 |
| Author: | Seyedeh Leili Mirtaheri, Reza Shahbazian |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Hardcover |
| Number of Pages: | 202 |
| Release Date: | 29 September 2022 |
| Weight: | 720g |
| Dimensions: | 234mm x 156mm |
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About The Author
Seyedeh Leili Mirtaheri
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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