๐๏ธ Week 09 - Lab on Gaussian process
Today you will work on Gaussian processes (GPs) in a lab session. Following what we have seen in the lecture, you will implement a GP regression model and apply it to a synthetic dataset. You will also explore the effect of different kernel functions and hyperparameters on the performance of the GP model. Also you will learn how to run a model selection procedure to find the best hyperparameters for your GP model.
๐งช Lab
Labs are available on GitHub.