Statistical Machine Learning (SML) Group, NICTA

Teaching (2009)

COMP6467/COMP4670: Introduction to Statistical Machine Learning

Course Coordinators: Christfried Webers and Marcus Hutter (first.last@nicta.com.au)

Description: This course provides a broad but thorough introduction to the methods and practice of statistical machine learning. Topics covered will include Bayesian inference and maximum likelihood modeling; regression, classification, density estimation, clustering, principal and independent component analysis; parametric, semi-parametric, and non-parametric models; basis functions, neural networks, kernel methods, and graphical models; deterministic and stochastic optimisation; overfitting, regularisation, and validation.

COMP6467/COMP4670: Introduction to Statistical Machine Learning (2008)

Course Coordinators: Marcus Hutter and Scott Sanner
COMP6460/COMP4640: Reinforcement Learning and Planning under Uncertainty (2008)

Course Coordinators: Marcus Hutter and Scott Sanner
COMP6467/COMP4670: Introduction to Statistical Machine Learning (2007)

Course Coordinators: Simon Guenter and Marcus Hutter
COMP8650: Advanced Statistical Machine Learning (2007)

Course Coordinators: Vishy Vishwanathan
COMP8660: Readings in Statistical Machine Learning (2007)

Course Coordinators: Wray Buntine
COMP6467/COMP4670: Overview of Statistical Machine Learning (2006)

Course Coordinators: Simon Guenter and Nic Schraudolph

We are part of an international team organizing the machine learning summer school (MLSS):