# Gaussian Processes Gaussian distributions have the nice algebraic property of being **closed** under *conditioning* and *marginalization*. Being closed under conditioning and marginalization means that the resulting distributions from these *operations* are also Gaussian, which makes many problems in statistics and machine learning tractable --- Date: 20240120 Links to: Tags: References: * [A Visual Exploration of Gaussian Processes](https://distill.pub/2019/visual-exploration-gaussian-processes/) * [I get confused trying to learn Gaussian Processes | Learn with me! - YouTube](https://www.youtube.com/watch?v=5Cqi-RAwAu8) * [Intuition Behind Gaussian Processes | SigOpt](https://sigopt.com/blog/intuition-behind-gaussian-processes) * [Gaussian Processes for Dummies ·](https://katbailey.github.io/post/gaussian-processes-for-dummies/)