Statistical Inference and Machine Learning

Utbildningsfakta

Kod: 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.

Behörighet

45 credits in statistics

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Statistical Inference and Machine Learning

  Uppsala University

  Startdatum: 31 augusti 2026

  Slutdatum: 3 november 2026

  Studietakt: 50 %