Edge AI with Raspberry Pi: Deploy Machine Learning Models on IoT Devices
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Edge AI with Raspberry Pi: Deploy Machine Learning Models on IoT Devices

by Booker Blunt

Machine Learning IoT Edge Computing
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Edge AI with Raspberry Pi explores the deployment of machine learning models on IoT devices. Booker Blunt’s focused guide is aimed at readers interested in Raspberry Pi, artificial intelligence, embedded computing, and the practical possibilities of processing data closer to connected devices.

About This Book

Edge AI with Raspberry Pi: Deploy Machine Learning Models on IoT Devices introduces the intersection of machine learning, compact computing, and connected devices.

The book focuses on using Raspberry Pi as a platform for deploying machine learning models at the edge, rather than relying exclusively on distant computing resources.

It is suited to readers interested in practical applications of artificial intelligence, embedded systems, and Internet of Things technologies.

Written by Booker Blunt, this title presents a focused guide to edge AI with Raspberry Pi.

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I will be using this book for: