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Edge ML for IoT: Raspberry Pi Insights by Ho Man Tik is a document available to read on EtoBox.

What is Edge ML for IoT: Raspberry Pi Insights about?

This document discusses running machine learning algorithms on edge devices for internet of things (IoT) applications. It tests the performance of random forests, support vector machine, and multi-layer perceptron algorithms on a Raspberry Pi device using various datasets. The support vector machine algorithm proved to be slightly faster and more energy efficient, while random forests had the highest accuracy. Running complex algorithms like deep learning on small IoT devices is also discussed.

Author

Ho Man Tik

Language

EN