New: exam schedule, bulk module import, index locking, prereq graphs, and more →
AY2022/2023 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, ARED, ASEC, BEEC, BIE, BMS, BS, BSB, BSPY, BUS, CBE, CBEC, CEE, CEEC, CHEM, CHIN, CS, CVEC, ECMA, ECON, ECPP, ECPS, EEE, EEEC, EESS, ELAH, ELH, ENE, ENEC, ENG, ESPP, HIST, IEEC, IEM, LMS, MAEC, MAEO(AMAS), MAEO(NULL), MAEO(PMAS), MAEO(STAT), MAT, MATH(AMAS), MATH(NULL), MATH(PMAS), MATH(STAT), ME(DES), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, REP(ASEN), REP(BIE), REP(CBE), REP(CE), REP(CVEN), REP(EEE), REP(ENE), REP(MAT), REP(ME), SCED, SOC, SSM |
| Not Available To All Programme With | (Admyr 2021-onwards), |
| Not Available As BDE/UE To Programme | MACS, MAEO(BA), MATH(BA) |
| Mutually Exclusive With | CE4041, MH4510, SC4000 |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1530 | 10494 TUT (TL1) 1530-1620 Mon LT2A Wk2-13 | COMMON LEC (L1) 1530-1720 Thu LT2A | |||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 | |||||
| 1830 | COMMON LEC (PT4) 1830-1920 Thu TR+3 | ||||
| 1900 | |||||
| 1930 | 14510 TUT (PT4) 1930-2120 Thu TR+3 Wk2-13 | ||||
| 2000 | |||||
| 2030 | |||||
| 2100 |
