## The magic of conjugate priors (for online learning)

In Bayesian reasoning, the fundamental problem is the following. Given a prior distribution $@p(x)$@, and some set of evidence $@E$@, compute a posterior distribution on $@x$@ namely $@p(x | E)$@. For example, $@x$@ might be the conversion rate of some email. Before you have any evidence you might expect …

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