Machine Learning at the Edge
Machine Learning (ML) at the Edge is a recent and growing field of computer science that combines the power of ML with the decentralized nature of edge computing. With ML at the Edge, data can be processed and analyzed closer to the source of the data, making it more efficient, faster, and cost-effective.
Why Learn Machine Learning at the Edge
There are several compelling reasons to learn about Machine Learning at the Edge: