Current course offerings

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Course description

Statistics is a key building block for numerous modern machine learning algorithms that have found success in many important applications. The course will cover key ideas behind these algorithms from a statistical perspective, and provide an in-depth knowledge that will enable students to apply the methods with awareness of their strengths and limitations. The topics covered will include probabilistic and analytic foundations, multivariate statistical analysis and machine learning, with a particular focus on clustering, classification, model selection and high-dimensional statistical analysis. Students will gain a theoretical understanding of these techniques and develop practical skills by using the R statistical programming language to solve problems involving various real and simulated datasets.

Archived offerings