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Historical snapshot — AY2019/2020 Semester 2 · View current offering →
ModsCZ4041AY2019/2020 Semester 2

Machine Learning

AY2019/2020 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
CategoriesCoreBDE
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, MACS, MAEC, MAEO, MAT, MATH, ME(DES), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, SCED, SOC, SSM
Mutually Exclusive WithMH4510
Exam

Available Indexes

MonTueWedThuFri
830

10265 TUT (CS4)

0830-0930 Thu

LT4

Wk2-13

900
930
1000
1030
1100
1130
1200
1230

COMMON LEC (CS4)

1230-1330 Tue

LT4

1300
1330

COMMON LEC (CS4)

1330-1430 Tue

LT4

1400
1430
1500
1530
1600
1630
1700
1730
1800
1830

COMMON LEC (PT3)

1830-2030 Thu

TR+16

1900
1930
2000
2030

14512 TUT (PT3)

2030-2130 Thu

TR+16

Wk2-13

2100