Statistical Inference and Machine Learning

Education facts

Code: 2ST126

The course gives a deepened knowledge of the theory underlying statistical inference and provides an introduction to basic concepts within machine learning and deep learning. The course treats likelihood-based methods, asymptotic theory, Bayesian statistics, Markov Chain Monte Carlo algorithms, regularised regression, support vector machines, tree-based methods, neural networks, training, validation, tests of predictive models, cross-validation and gradient-based optimization. The subjects are studied both theoretically and practically in practice sessions focusing on both theory and applications in R and assignments with scheduled time for supervision.

Entry requirements

45 credits in statistics

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Statistical Inference and Machine Learning

  Uppsala University

  Start date: 31 August 2026

  End date: 3 November 2026

  Pace of study: 50 %