Not offered in the current semester · Last offered 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.
Prerequisite Graph
Required first
CZ1007Data StructuresCZ1011Engineering Mathematics ICZ1107Data Structures & AlgorithmsCZ2100Probability & Statistics For ComputingMH2500ProbabilityCZ4041
Machine Learning
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Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1230 | 10708 TUT (SCEL) 1230-1320 Mon LT20 Wk2-13 | ||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | COMMON LEC (SCL4) 1430-1620 Wed LT19 | ||||
| 1500 | |||||
| 1530 | |||||
| 1600 |
Other offerings
AY25/26
AY24/25
AY23/24
AY22/23
AY21/22
AY20/21
AY19/20
AY18/19
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