37401 Machine Learning: Mathematical Theory and Applications8cp; 3hpw x 11wks (computer lab), on campus
There are course requisites for this subject. See access conditions.
Machine learning is a field of artificial intelligence that enables machines to learn from data. This subject is designed to provide a comprehensive introduction to the fundamentals of machine learning and their applications in engineering, statistics, computer science, finance, and economics. Students gain an in-depth understanding of the techniques and applications of machine learning. In particular, the subject covers modern topics such as supervised learning, semi-supervised learning, unsupervised learning, regularisation, decision and regression trees, ensemble methods, Gaussian processes, and deep learning. The subject is designed to provide students with hands-on experience in implementing and using machine learning algorithms, as well as popular packages and libraries.
Detailed subject description.