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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

Course Schedule

0930

1030

1130

1230

1330

1430

1530

1630

1730

MON
TUE
WED
THU
FRI
SAT

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