Gaussian processes (GP) has many application in both statistics (for instance spatial modelling, predictive medicine) machine learning (for instance regression, classification).
The focus of the presentation and hands-on will be introducing the basic structure of a GP. The main guiding application will be using in a GP for a nonparametric regression.
The hands-on tutorial will be in either R or Python.
17.30 – Meet & Greet
17.45 – Introduction
18.15 – Hands-on tutorial
18.45 – Break with something lighter to eat
19.15 – Hands-on tutorial
20.00 – The End
Bring your own computer for best experience of this tutorial