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MH4510 STATISTICAL LEARNING & DATA MINING

This course gives an overall view of the modern statistical/machine learning techniques for mining massive datasets, ranging from generalized linear models, over model selection, to the state-of-the-art techniques like LASSO, neural networks, etc. This course will not only discuss individual algorithms and methods, but also tie principles and approaches together from a theoretical perspective. Moreover, students can gain a hands-on experience through team project. This course equips students with the necessary skills for being a data analyst.

Academic Units4
Exam ScheduleNot Applicable
Grade TypeLetter Graded
Department MaintainingMATH(SPS)
Prerequisites

MH2500 & MH3500 & MH3510 & MH3511

Mutually Exclusive

CZ4041, SC4000

Not Available to ProgrammeEEE, EEEC, IEEC, IEM

Prerequisites Tree

MH4510requiresall ofMH3511MH3510MH3500MH2500

Indexes

IndexTypeGroupDayTimeVenueRemark
70310TUTTFRI0930-1020LHS-TR+53
70310LABLAMON1430-1620COMP LAB 3

Course Schedule

0930

1030

1130

1230

1330

1430

1530

1630

1730

MON

MH4510

LAB | COMP LAB 3

TUE
WED
THU
FRI

MH4510

TUT | LHS-TR+53

SAT

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