# The Julia Language project

This page contains the details of a technical writing project accepted for
Google Season of Docs.

### Project summary

Open source organization:
:   The Julia Language

Technical writer:
:   Liza

Project name:
:   Bayesian inference for Gaussian Processes

Project length:
:   Standard length (3 months)

### Project description

I would like to develop (and teach myself) some easy-to-start material, allowing to perform Bayesian inference for Gaussian processes (GPs) using Julia's ecosystem.

Outline:

- What are non-parameteric models and, in particular, GPs
- One-dimensional curve fitting simple example, i.e. given a set of pairs (x_i, y_i) how to fit f(x)=y
- Discuss different kernels: squared exponential, Matern, linear, compositions
- A more involved 2d example, modelling spatial data