Bias–variance tradeoff - Wikipedia
The bias–variance tradeoff is a central problem in supervised learning. Ideally, one wants to choose a model that both accurately captures the regularities in its training data, but also generalizes well to unseen data. Unfortunately, it is typically impossible to do both simultaneously. High-variance learning methods may be able to represent their training set well but are at risk of overfitting
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Mike On Ads » Blog Archive » RTB Part III — Cookies & User Data
Ramblings about online advertising, ad networks & other techie randomness Navigate » Home About All Posts Errorsafe Who Am I? Mike Nolet CTO/Co-Founder @ AppNexus Linked In Profile To clarify a frequent confusion, while I love working with Michael Rubenstein I am not him! Advertisement Feeds Standard RSS Feed Comment Feed Cookie Matching. A number of people have asked about how cookie matching wor
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