Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices Singh Amitoj
Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices Singh Amitoj This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge…
Specifikacia Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices Singh Amitoj
Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices Singh Amitoj
This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. 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.
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.The target audience of this book includes academics, research scholars, industrial experts, scientists, and The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology.