Gaussian Process Visualization

Created by Khoi Pham Munchic with Mathify.dev

The animation illustrates how a Gaussian Process uses the RBF kernel to analyze and fit data, showing the true underlying function, the observed data points, and how the model's predictions and uncertainty change as more data is incorporated. It visually emphasizes the kernel trick and includes the mathematical formula associated with it.