Historical snapshot — AY2025/2026 Semester 2 · View current offering →
ModsSC4000AY2025/2026 Semester 2
Machine Learning
AY2025/2026 Semester 2
This course introduces basic concepts and methodologies for machine learning as well as their applications. Clustering. Dimension Reduction. Classification. Decision Theory. Density Estimation. Classifier Evaluation.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To All Programme With | Yr1, Yr2, (Admyr 2011-2020) |
| Not Available As BDE/UE To Programme | MACS, MAEO(BA), MATH(BA) |
| Mutually Exclusive With | CE4041, CZ4041, MH4510, SC5002 |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1230 | 10508 TUT (SCEL) 1230-1320 Mon LT20 Wk2-13 | ||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | COMMON LEC (SCL4) 1430-1620 Wed LT19 | ||||
| 1500 | |||||
| 1530 | |||||
| 1600 |