Tutorials for the Cargese Summer School on Advanced Computation in Cosmology

Tutorial materials go here.

Tutorial 1: Probabilistic Graphical Models and Bayesian Hierarchical Inference

Slides for the PGM and hierarchical Bayes tutorial, and an exercise estimating how much chocolate one needs to eat in order to be more productive at work.

Tutorial 2: Machine Learning

Machine Learning slides and a tutorial finding either stars or photometric redshifts using SDSS data.

Tutorial 3: Statistics and Machine Learning

A mixed bag of stuff.