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What is Bayes’ theorem?
a) It is the probability of an event based on condition that might be related to an event
b) It is the sum of an event based on condition that might be related to an event
c) It is the probability of an event not based on condition that might be related to an event
d) It is the probability of a function based on parameter that might be related to it
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a) It is the probability of an event based on a condition that might be related to that event.
More precisely, Bayes’ theorem states
P(A|B) = P(B|A)·P(A) / P(B),
which lets you update the probability of A given evidence B using the likelihood P(B|A), the prior P(A), and the marginal P(B).
More precisely, Bayes’ theorem states
P(A|B) = P(B|A)·P(A) / P(B),
which lets you update the probability of A given evidence B using the likelihood P(B|A), the prior P(A), and the marginal P(B).
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