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books
| book details |
Machine Learning Hybridization and Optimization for Intelligent Applications
Edited by Tanvir Habib Sardar, Edited by Bishwajeet Kumar Pandey
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| on special |
normal price: R 2 571.95
Price: R 2 314.95
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| book description |
This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features: Focuses on hybridization and optimization of machine learning techniques Reviews supervised, unsupervised, and reinforcement learning using case study-based applications Covers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computing Explains computing models using real-world examples and dataset-based experiments Includes case study-based explanations and usage for machine learning technologies and applications This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 21 Jun 2026
Language |
Format | Paperback / softback
Pages | 338
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 680g
ISBN | 978-1-0327-3764-5
Readership Age |
BISAC |
| other options |
Normally shipped |
Readership Age |
Normal Price | R 3 133.95
Price | R 2 820.95
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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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Matt Dinniman
Paperback / softback
480 pages
was: R 522.95
now: R 459.95
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