Bayes Rule
P(A|B) = (P(B|A)*P(A))/P(B)
Bayes Rule
P(A|B) = (P(B|A)*P(A))/P(B)
It’s fascinating how unintuitive it is for people but it’s also a part of their natural intuitive reasoning at the same time.
That’s true!
This is one of the foundational equations for empirical distributional linguistics. Some ideas in modern deep learning stem from this equation and the chain rule.