COMP8600 Statistical Machine Learning

About the course

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; 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.

When it meets

Every week

• Tue 08:30–11:00 lecture

Choose one lab (6 options)

• Tue 15:00–16:30
• Wed 09:00–10:30
• Wed 13:00–14:30
• Thu 14:00–15:30
• Thu 14:00–15:30
• Thu 17:00–18:30

2027 times aren't published yet, so these are last year's.

Requirements

To enrol in this course you must have completed COMP6670 or COMP3670. Incompatible with COMP4670.

Wording from ANU Programs and Courses.