Hey everyone, Here are the slides: https://docs.google.com/presentation/d/1Pp_Rga2qYUnDtkxYwHtda9aTIvEwIvgClkYb... and code is attached. It basically just lets you make plots of kernel functions, sample from a Gaussian Process (conditional or not), and evaluate the conditional distribution of Gaussian Process. Let me know if you have *any* questions about the code or the talk. I'm more than happy to discuss it.