Introduction
The Gaussian (normal) distribution is the most important distribution in ML. It appears naturally whenever many small independent effects add up (central limit theorem), it has simple formulas for almost every operation, and it is the default model for noise. Linear regression, Gaussian processes, VAEs, diffusion models and Kalman filters are all built on it.