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Supplementary Material

Reading List and additional material
Below is a set of readings and links to useful resources relating to topics discussed at the summer school.

1. Introduction to bayesian Inference

2. Graphical Models

Probabilistic Programming Practical
Here is a link to the files needed during the probabilistic programming practical.

Gaussian Processes Practical
Here is a link to the files needed during the gaussian process practical.

Machine Learning Summer School 2009