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 also discusses how to build AI models, i.e., model training and inference, on edge.

� propos de l?auteur:

Amitoj Singh is working as Assistant Professor in the department of Computational Sciences, MRSPTU, Bathinda, Punjab, India.

Vinay Kukreja is working as an Associate professor at Chitkara University, Punjab, India.

Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

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Articles li�s � Machine Learning for Edge Computing: Frameworks, Patterns...

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

Amitoj Singh

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