COMP6670 Introduction to Machine Learning
S26 units6000-level
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.
- 2024S2
- 2025S2
- 2026S2
- 2027S2
Prerequisites in 2024
Read automatically from the handbook's wording
Incompatible with COMP3670: you can't count both.
The handbook's wording, and when it changed
To enrol in this course you must have: completed or be currently enrolled in COMP6710 OR COMP6730 OR have completed COMP1110 or COMP1140 . Incompatible with COMP3670 .
To enrol in this course you must: be enrolled in Master of Computing (Advanced) OR have completed or be currently enrolled in ( COMP6710 or COMP7710 or COMP6730 ) OR have completed COMP1110 or COMP1140 . Incompatible with COMP3670 .
What it leads to in 2024
These courses name COMP6670 in their 2024 prerequisites:
- COMP8420 Neural Networks, Deep Learning and Bio-inspired Computing
- COMP8600 Statistical Machine Learning
- COMP8650 Advanced Topics in Machine Learning
- COMP8880 Computational Methods for Network Science
- COMP8920 Neural Networks, Deep Learning and Bio-inspired Computing
- COMP8960 Statistical Machine Learning
- COMP8980 Computational Methods for Network Science