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Statistical machine learning encompasses a collection of techniques for discovering patterns in data and making predictions, involving models and methods at the intersection of machine learning and statistics. Geared towards introducing students to a diverse set of techniques for analyzing complex data, this module provides an overview of a variety of fundamental statistical machine learning methods for making predictions and discovering patterns in data. Emphasis is placed on understanding, critical evaluation, and the appropriate application of these techniques in diverse real-world data analysis scenarios. Additionally, the course also guides participants on implementing these statistical learning methods through the use of the R statistical software.
About this Module
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Requirements, Exclusions and Recommendations
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Module Requisites and Incompatibles
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Assessment Strategy
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Name | Role |
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Mr Brian Buckley | Tutor |
Mr Brian Hassett | Tutor |
Iuliia Promskaia | Tutor |
Niyati Seth | Tutor |