ŷhat | Python Multi-armed Bandits (and Beer!)There are many ways to evaluate different strategies for solving different prediction tasks. In our last post, for example, we discussed calibration and discrimination, two measurements which assess the strength of a probabilistic prediction. Measurements like accuracy, error, and recall among others are useful when considering whether random forest "works better" than support vector machines on a
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Multi-Armed Bandits
GitHub - johnmyleswhite/BanditsBook: Code for my book on Multi-Armed Bandit Algorithms
