Gaussian Processes in R

I stumbled upon Gaussian Processes when looking into how the MIPRO prompt optimisation algorithm works and felt compelled to learn more about it. It’s a very nifty application of Bayesian modelling to analyse functions where data points are hard to get. This post is based on a great lesson by Carpentries , which is part of a longer series on probabilistic programming in R. Very worth checking out…