Data Science and Machine Learning (Theory and Projects) A to Z - Multiple Random Variables: Joint Distributions Exercise

The video tutorial explains how to derive the expectation formula for the sum of two random variables, X and Y, which are both discrete. It discusses their joint probability mass function (PMF) and how solving for discrete distributions can be adapted to continuous distributions by replacing summations with integrals.

What new insight or understanding did you gain from this video?

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