Machine Learning for Finance

Module code: ECOM198

Credits: 15.0
Semester: SEM2

Contact: Dr Richard Saldanha

The aim of this module is to explore commonly used machine learning methods in economics and finance. The majority of methods currently available are inherently statistical and so there is a strong emphasis placed on probability and statistics in terms of foundation. Practical application of methods is undertaken using R, although the course does touch on Python use as well. Students are free to use R, Python or other reputable scientific software for assignments.

Connected course(s): UDF DATA
Assessment: 80.0% Examination, 20.0% Coursework
Level: 7