37401 Machine Learning: Mathematical Theory and Applications
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Credit points: 8 cp
Result type: Grade and marks
There are course requisites for this subject. See access conditions.
Description
This subject introduces several machine-learning techniques and the most important mathematical foundations required in machine learning. The topics covered include time series prediction, neural networks, genetic algorithms and reinforcement learning.
The subject combines the required theory with practical applications to problems arising in statistics, data analysis and quantitative finance including algorithmic trading, portfolio optimisation and risk management.