AI at the Edge: Solving Real-World Problems with Embedded Machine Learning
by Daniel Situnayake, Jenny Plunkett
AI at the Edge introduces embedded machine learning as a practical approach to solving real-world problems. Daniel Situnayake and Jenny Plunkett examine the use of artificial intelligence on edge devices, offering readers a focused guide to this growing area of computer science and technology.
About This Book
AI at the Edge explores embedded machine learning and its role in solving real-world problems.
The book focuses on applying artificial intelligence directly within edge devices, rather than relying exclusively on remote computing environments.
Written by Daniel Situnayake and Jenny Plunkett, it presents embedded machine learning as a practical area of technology and problem-solving.
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