New post by O. Koch: “The Trade-Offs of Large-Scale Machine Learning: the price of time”

By: Criteo AI Lab / 08 Sep 2020

What defines large-scale machine learning? This seemingly innocent question is often answered with petabytes of data and hundreds of GPUs. It turns out that large-scale machine learning does not have much to do with all of that. In 2013, Léon Bottou gave a class on the topic at Institut Poincaré. The class is still as relevant today as it was then. This post is a short summary of it.

Full post on Medium.

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