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ModsMH4510

Statistical Learning Data Mining

Current offering — AY2026/2027 Semester 1

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.

Total hours per week: 3 hrs

AUs4.0 AUs
Grade Type
PrerequisiteMH2500, MH3500, MH3510, MH3511
Exam

Prerequisite Graph

MH4510

Statistical Learning & Data Mining

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Available Indexes

MonTueWedThuFri
930

70310 TUT (T)

0930-1020 Fri

LHS-TR+52

1000
1030
1100
1130
1200
1230
1300
1330
1400
1430

70310 LAB (LA)

1430-1620 Mon

COMP LAB 3

1500
1530
1600

Other offerings

AY25/26
Semester 1Semester 2Sp. Term
AY24/25
Semester 1Semester 2Sp. Term
AY23/24
Semester 1Semester 2Sp. Term
AY22/23
Semester 1Semester 2Sp. Term
AY21/22
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AY20/21
Semester 1Semester 2Sp. Term
AY19/20
Semester 1Semester 2Sp. Term
AY18/19
Semester 1Semester 2Sp. Term
AY17/18
Semester 1Semester 2Sp. Term
AY16/17
Semester 1Semester 2Sp. Term
AY15/16
Semester 1Semester 2Sp. Term
AY14/15
Semester 1Semester 2Sp. Term

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