From a modeling point of view, joint probability distributions are where the action is. They let you posit latent structure and reason about conditional probability. This video gives an overview of the basics of joint random variables. This is part of a series of videos for COS 302: Mathematics for Numerical Computation and Machine Learning, replacing lectures after the course went remote due to the COVID-19 pandemic.
Laboratory for Intelligent Probabilistic Systems
Princeton University Department of Computer Science