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Old Principles, New Approaches: Bayes in Practice
In a discipline as innovation-focused as data science, approaches that were cutting-edge just a couple of years ago can feel stale today. It makes it all the more remarkable that Bayesian statistics—a set of principles almost three centuries old — have enjoyed such a long shelf life.
Bayes’ Theorem and its derivative applications aren’t something you learn about in a college stats course, only to be promptly filed away in the far periphery of your memory. Every day, data science …