probabilistic-models-class

CSCI 5822 at CU Boulder, Spring 2023
Instructor: Prof. Rebecca Morrison <[email protected]>
TA: Tzu-Chi Yen <[email protected]>
Grader: Meghank Kankanala <[email protected]>

This repo will host Jupyter Notebooks and, especially, code demos and homework. You may also find an updated class schedule. More details on textbooks and course policies are in the syllabus (see Canvas).

Meeting time

MWF 11:15a-12:05p, ECCR 150 and online

Office hours

TY: Mon 1:15 – 2:15p The Theory Lounge (ECES 118)
TY: Virtual, schedule here: https://calendly.com/tcyen/5822
RM: Wed 9:00 – 10:00a ECOT 820, and by appointment

Materials

• Lecture notes (R. Morrison)
• Probabilistic Machine Learning: Advanced Topics by Kevin Murphy (available online; latest version here)
• Bayesian Reasoning and Machine Learning by David Barber (available online)
• Various papers and book chapters (will be available on Canvas/Github/Slack)

Questions, student-let discussions

Use Slack. See Canvas for link.

Announcements, class recordings, and grading

See Canvas.

Jupyter notebooks, code demos, updated class schedule

See current repo.