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books
| book details |
Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead
Edited by Sudeep Tanwar, Edited by Anand Nayyar, Edited by Rudra Rameshwar
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| on special |
normal price: R 2 057.95
Price: R 1 851.95
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| book description |
Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 4 Oct 2024
Language |
Format | Paperback / softback
Pages | 374
Dimensions | 254 x 178 x 0mm (L x W x H)
Weight | 453g
ISBN | 978-0-3676-1892-6
Readership Age |
BISAC |
| other options |
Normally shipped |
Readership Age |
Normal Price | R 2 506.95
Price | R 2 256.95
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Matt Dinniman
Paperback / softback
480 pages
was: R 522.95
now: R 459.95
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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