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78% MNIST accuracy using GZIP in under 10 lines of code
Using GZIP compression and the k-Nearest Neighbors algorithm, we explore an innovative approach to classifying the MNIST dataset with about 78% accuracy
Personal site of Jakob Serlier, an AI and systems engineer at Microsoft. Writing about pragmatic AI, engineering culture, and tooling.
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Using GZIP compression and the k-Nearest Neighbors algorithm, we explore an innovative approach to classifying the MNIST dataset with about 78% accuracy