Courses / Module

Toggle Print

Module STATISTICAL MACHINE LEARNING (R)

Module code: ST864
Credits: 5
Semester: 2
Department: MATHEMATICS AND STATISTICS
International: No
Overview Overview
 

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

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.

Lectures and tutorials as for ST464.

Open Learning Outcomes
 
Open Teaching & Learning methods
 
Open Assessment
 
Open Repeat options
 
Open Pre-Requisites
 
Open Timetable
 
Back to top Powered by MDAL Framework © 2019
V5.2.0 - Powered by MDAL Framework © 2019