Mathematical Foundations for Deep Learning
$235.20
- Hardcover
374 pages
- Release Date
5 August 2025
Summary
Demystifying Deep Learning: A Mathematical Journey
Mathematical Foundations for Deep Learning bridges the gap between theoretical mathematics and practical applications in artificial intelligence (AI). This guide delves into the fundamental mathematical concepts that power modern deep learning, equipping readers with the tools and knowledge needed to excel in the rapidly evolving field of artificial intelligence.
Designed for learners at all levels, from beginners t…
Book Details
| ISBN-13: | 9781032690735 |
|---|---|
| ISBN-10: | 1032690739 |
| Author: | Mehdi Ghayoumi |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | Chapman & Hall/CRC |
| Format: | Hardcover |
| Number of Pages: | 374 |
| Release Date: | 5 August 2025 |
| Weight: | 453g |
| Dimensions: | 254mm x 178mm |
About The Author
Mehdi Ghayoumi
Dr. Mehdi Ghayoumi is an Assistant Professor at the Center for Criminal Justice, Intelligence, and Cybersecurity at SUNY Canton, recognized for his excellence in teaching and research—including previous roles at SUNY Binghamton and Kent State University, where he received consecutive Teaching Awards in 2016 and 2017. His multidisciplinary research focuses on machine learning, robotics, human-robot interaction, and privacy, aiming to develop practical systems for real-world applications in manufacturing, biometrics, and healthcare. Actively contributing to the academic community, Dr. Ghayoumi develops courses in emerging technologies and serves on technical program committees and editorial boards for leading conferences and journals in his field.
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