Opening book details…
Can I read Artificial Intelligence and Machine Learning for EDGE Computing on EtoBox?
Artificial Intelligence and Machine Learning for EDGE Computing by Rajiv Pandey; Sunil Kumar Khatri; Neeraj Kumar Singh; Parul Verma is a science book available to read on EtoBox.
What is Artificial Intelligence and Machine Learning for EDGE Computing about?
<p><i>Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing</i> focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed com
Who reads Artificial Intelligence and Machine Learning for EDGE Computing?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Rajiv Pandey; Sunil Kumar Khatri; Neeraj Kumar Singh; Parul Verma
- Publisher
- Academic Press, Incorporated
- Published
- 2022
- Language
- EN
- ISBN
- 9780128240557
- Category
- science
- Subjects
- Medical, Technology, Science
- Updated
- 2026-03-24
More by Rajiv Pandey; Sunil Kumar Khatri; Neeraj Kumar Singh; Parul Verma
Browse all works by Rajiv Pandey; Sunil Kumar Khatri; Neeraj Kumar Singh; Parul Verma
Similar books
- Artificial Intelligence: 3 Books in 1: Machine Learning for Beginners, Artificial Intelligence for Business and Computer Networking for Beginners: A Complete AI and Deep Learning Guide — David Brown
- Artificial Intelligence for Edge Computing — Mudhakar Srivatsa & Tarek Abdelzaher & Ting He (2024)
- Metaheuristics for Machine Learning: Algorithms and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation) — Kanak Kalita; Narayanan Ganesh; S. Balamurugan (2024)
- Artificial Intelligence and Edge Computing for Sustainable Ocean Health — Debashis De, Diganta Sengupta, Tien Anh Tran (2024)
- Artificial Intelligence for Cloud and Edge Computing (Internet of Things) (2022)
- EDGE INTELLIGENCE : Deep Learning-enabled Edge Computing — Shajulin Benedict (2024)