Bayes's rule allows you to compute
AP(A | B) from P(B | A), P(A), and P(B)
BMarginal distribution from a joint
CVariance from expectation alone
DIndependence from correlation
Answer & Solution
Correct answer: A. P(A | B) from P(B | A), P(A), and P(B)
Bayes's rule: P(A | B) = P(B | A) · P(A) / P(B). Central to probabilistic ML — converts a likelihood + prior into a posterior.
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