In statistics, a frequentist interpretation looks only at the simple probability. But Bayes' theorem works with conditional information rather than just looking at a positive result, says Adam Frank.

For example, the conditional probability tables could be constructed from empirical evidence. The parameters need not be discrete (as in the toy example), ...

Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional ...