Using Empirical Bayes to approximate posteriors for large "black box" estimators
The Unofficial Google Data Science Blog
NOVEMBER 4, 2015
These decisions are often business-critical, so it is essential for data scientists to understand and improve the regressions that inform them. In the examples above, we might use our estimates to choose ads, decide whether to show a user images, or figure out which videos to recommend. First, systems can be theoretically intractable.
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