AIML 429 (2023) - Home Page

AIML 429: Probabilistic Machine Learning.

Lectures in T1, 2023:

• Mondays, 11am in LBLT118
• Thursdays, 11am in AMLT105

Note the different rooms! (Videos available via "Nuku" on left side-bar, but I'd prefer you show up in class).

Marcus's Office Hours are Mondays 3-5pm, in CO337. In-person is best. There's also zoom.

Useful Texts:

• The Algorithms For Decision Making, by Kochenderfer, Wheeler and Wray, 2023
• Murphy I, Probabilistic Machine Learning: Introduction, by Kevin Murphy, 2022
• Murphy II, Probabilistic Machine Learning: Advanced Topics, by Kevin Murphy, 2023

Marcus' office hours - book a slot.

Materials, so far: Notes and Queries (see pdf under Attachments below and note the date there) are the base material for lectures. Portfolio Tasks is the set of assignment questions that you can collate. You can get feedback on that in discussions during office hours if you wish to, but the whole thing is due in one "chunk" at the end of the course.