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:
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.


  • 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