Bayes' Theorem

Bayes’ Theorem describes a way of finding a conditional probability when we know certain other probabilities. The following equation mathematically denotes Bayes’ Theorem:

$P(Hypothesis|Evidence)=P(Hypothesis)\cdot\frac{P(Evidence|Hypothesis)}{P(Evidence)}$

Bayes’ Theorem says we can calculate the posterior probability from a prior probability and some evidence-related modifier.

The posterior denotes what we believe about the $Hypothesis$ after gathering the new information about the $Evidence$. It is a conditional probability such as we discussed above. The prior probability denotes what we believed about $Hypothe$ ...