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10 steps: (1) BAYES' THEOREM: P(A|B) = P(B|A)·P(A)/P(B). (2) In words: posterior = likelihood × prior / evidence. (3) PRIOR: P(A) - what we believed before seeing data. (4) LIKELIHOOD: P(B|A) - probability of data given hypothesis. (5) POSTERIOR: P(A|B) - updated belief after seeing data. (6) Diseas

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