MAT 4373 Statistical Machine Learning
3 units
Mathematics
Faculty of Science
Discriminant analysis, principal component analysis, support vector machines; reproducing kernel Hilbert spaces and kernel methods; neural networks; VC Theory; PAC learning. Additional topics may include: Bayesian modelling, manifold learning, boosting.
Components:
Lecture
Previously Offered Terms:
Winter
French Equivalent: