Historical snapshot — AY2016/2017 Semester 2 · View current offering →
ModsCZ4041AY2016/2017 Semester 2
Machine Learning
AY2016/2017 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 Programme | ACBS, ACC, ADM, AERO, ASEC, BEEC, BIE, BMS, BS, BUS, CBE, CBEC, CEE, CEEC, CHEM, CHIN, CS, CSEC, CVEC, ECON, EEE, EEEC, EESS, ELH, ENE, ENEC, ENG, HIST, IEEC, IEM, LMS, MAEC, MAT, MATH, ME, ME(DES), ME(MEC), MEEC, MEEC(DES), MEEC(MEC), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSY, SOC, SSM |
| Not Available To All Programme With | (Admyr 2004-2010) |
| Mutually Exclusive With | CSC419 |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 830 | COMMON LEC (CS4) 0830-0930 Thu LT10 | ||||
| 900 | |||||
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | 10359 TUT (CS4) 1230-1330 Tue LT10 | ||||
| 1300 | |||||
| 1330 | COMMON LEC (CS4) 1330-1430 Tue LT10 | ||||
| 1400 |