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Module STATISTICAL MACHINE LEARNING

Module code: ST464
Credits: 5
Semester: 2
Department: MATHEMATICS AND STATISTICS
International: Yes
Overview Overview
 

Module Objective:
To develop the students knowledge of Statistical learning techniques.

Introduction to statistical learning. Classification: logistic regression, LDA and QDA. Unsupervised learning: PCA, clustering methods. Resampling methods: cross-validation and the bootstrap. Linear Model selection and regularisation. Modelling with regression splines and smoothing splines. Tree-based methods. Support vector machines. Implementation in R.

Open Learning Outcomes
 
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Open Assessment
 
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Open Pre-Requisites
 
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