COMP3670 Introduction to Machine Learning (Australian National University): rated 2.0/5 overall, difficulty 0.0/5 (higher is harder), would-recommend 0.0/5 across 3 reviews collected on ANU Wall.
COMP3670 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: 机器学习导论
Type: Undergraduate course
Credit points: 6
Subject area: Computer Science
Faculty: ANU College of Systems and Society
Level: Undergraduate Level 3
Handbook year: 2026
Essential foundations for any machine learning application are a basic statistical analysis of the data to be processed, a solid understanding of the mathematical foundations underpinning machine learning as well as the basic classes of learning/adaptation concepts. Those foundations are bundled in this single, introductory course to machine learning in preparation for deeper explorations into the topic, but also as a standalone unit.
COMP3670 has 3 scored reviews: overall 2.0/5 · usefulness 2.0 · difficulty 0.0 · would-recommend 0.0 (all out of 5; higher difficulty means harder).
Sources: 2 reviews by ANU students on ANU Wall (2.5/5 overall); 1 StudentVIP review (average 1.0 stars).
The course panel on ANU Wall shows every review and discussion in full.
Q: Is COMP3670 hard?
A: Students rate COMP3670's difficulty 0.0/5 on average (higher is harder), which makes it on the easier side.
Q: Is COMP3670 worth taking?
A: Averaged over 3 reviews: would-recommend 0.0/5, usefulness 2.0/5, overall 2.0/5.
Q: Which faculty teaches COMP3670, and when is it offered?
A: COMP3670 is taught by the ANU College of Systems and Society. Check the official handbook for the current year.
ANU Wall is an independent student community and is not affiliated with Australian National University.