# An intuitive introduction to Gaussian processes

## February 1, 2019

Christopher Fonnesbeck did a talk about Bayesian Non-parametric Models for Data Science using PyMC3 on PyCon 2018. In this talk, he glanced over Bayes’ modeling, the neat properties of Gaussian distributions and then quickly turned to the application of Gaussian Processes, a distribution over infinite functions. Wait, but what?! How does a Gaussian represent a function? I did not understand how, but the promise of what these Gaussian Processes representing a distribution over nonlinear and nonparametric functions really intrigued me and therefore turned into a new subject for a post.
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