The Supervised Machine Learning Book

Online material: Visualization of Gaussian Process regression

written by Johan Wågberg (at Uppsala University) 2019. The technical idea on how to smoothly loop over Gaussian process samples (as done in this animation) is described by Philipp Hennig (at University of Tübingen) in this document.
Try different kernels, change hyperparameters and add observations by clicking in the figure!