# Likelihood function vs probability distribution function [duplicate]

I've been reading about Bayesian statistics and data analysis, and constantly see that $$\text{posterior} \propto \text{prior} \ \times \text{likelihood}$$. I'm familiar with fundamental probability and statistics, but I'm not sure how a likelihood function is different from probability distribution.