• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices

Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices

Paperback

Series: Edge AI in Future Computing

Technology & EngineeringGeneral Computers

ISBN10: 0367698331
ISBN13: 9780367698331
Publisher: CRC Press
Published: Jul 29 2024
Pages: 190
Weight: 0.63
Height: 0.42 Width: 6.14 Depth: 9.21
Language: English

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence.

Also in

General Computers