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School of Economics and Finance

ECOM135 - Machine Learning Applications for Finance

Credits: 15

Module Convenor: Dr Richard Saldanha

This course should appeal to those students wishing to understand some of the techniques that are now commonly referred to as machine learning. Most of these techniques have been in use for some time but have become more popular as more 'big data' applications have become available. This course will also introduce students to the use of the R Project for Statistical Computing. R is a free software environment for statistical computing and graphics.

Assessment: 80.0% Examination, 20.0% Coursework

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