COMP8600 Statistical Machine Learning (Australian National University): rated 4.2/5 overall across 1 review collected on ANU Wall.
COMP8600 is a Australian National University course taught by the ANU College of Systems and Society in Computer Science. This page brings together its handbook details and what ANU students say about it.
Review data updated 2026-10-24.
Chinese title: 统计机器学习
Type: Graduate course
Credit points: 6
Subject area: Computer Science
Faculty: ANU College of Systems and Society
Level: Graduate coursework Level 8
Handbook year: 2026
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, …
COMP8600 has 1 scored review: overall 4.2/5 (all out of 5; higher difficulty means harder).
Sources: 1 Reddit comment that an AI model judged to be reviewing this course (average would-recommend 4.2/5).
On Reddit: "The most math heavy course is Statistical Inference STAT3013/STAT8027 which uses Casella and Berger and is a required course. If you haven’t previously completed a similar course at the level of Casella and Berger then you definitely should brush up on your math stats and it wou…"
The course panel on ANU Wall shows every review and discussion in full.
Q: Is COMP8600 worth taking?
A: Averaged over 1 review: overall 4.2/5. Only a few reviews so far, so treat this as a rough guide.
Q: Which faculty teaches COMP8600, and when is it offered?
A: COMP8600 is taught by the ANU College of Systems and Society. Check the official handbook for the current year.
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