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Historical snapshot: AY2022/2023 Semester 2 · View current offering
ModsCZ4041AY2022/2023 Semester 2

Machine Learning

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.

AUs3.0 AUs
Categories
CoreBDE
Not Available To ProgrammeACBS, 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 ProgrammeMACS, MAEO(BA), MATH(BA)
Mutually Exclusive WithCE4041, MH4510, SC4000
Exam

Available indexes

MonTueWedThuFri
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

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