• Conditional Probability —> P(A|B) = P(A∩B)

1. When A and B are independent —> P(A|B) = P(A)

In independednt events, P(A∩B) = P(A).P(B)

1. When A and B are mutually exculsive —> P(A|B) = P(B|A) = 0

• Bayes Theorem

Marginalization is also called evidence.

P(H|E) = P(E|H).P(H)/P(E)

    P(H) = Probability a hypothesis is true (before any evidence)

    P(E|H) = Probability of seeing the evidence if hypothesis is true

P(E) = ∑P(E|Hi).P(Hi)