Probability

Reasoning under uncertainty is a critical framework for rational decision making.

Elements

1. 1.3.aCompute Probabilities of Outcomes

   The ability to compute probabilities of individual outcomes given a natural language description of a probability distribution.

2. 1.3.bComplement Rule

   The ability to compute the complement probability of an event (i.e., the probability that it does not occur).

3. 1.3.cBayes' Rule

   The ability to update probabilistic beliefs according to Bayes' Rule: Let $A$ and $B$ be events and $P(B) \neq 0$, then $P(A|B) = P(B|A)P(A)/P(B)$.