Tuesday 10 Sep 17.30

Introduction to (Latent) Gaussian processes

Hands On Data Science

FOOD: Yes

LEVEL: Intermediate

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.

Agenda

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



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