Introduction to Machine Learning with Chris Webers

Prediction Markets with Mark Reid

Deep Learning with Lizhen Qu

Bayesian Nonparametric Methods for Unsupervised Models with Wray Buntine

Natural Language Processing with Mark Johnson

Dirichlet Processes and Friends with Ryan Adams

Gaussian Processes with Neil Lawrence

Stan Hands-on with Bob Carpenter

Bayesian Inference and MCMC with Bob Carpenter

Structured Prediction for Computer Vision with Stephen Gould

Approximate Inference with Alexander Ihler

Machine Learning for Recommender Systems with Alexandros Karatzoglou

Probabilistic Graphical Models with Justin Domke (Screencast Version)

Computational Information Geometry with Frank Nielsen

Boosting with Richard Nock

Optimisation with Mark Schmidt - MLSS Sydney 2015