Introduction to Machine Learning

Education facts

Code: 1DL034

This is a practical introduction to machine learning: its terminology, an overview of basic supervised and unsupervised methods (for example, regression, classification trees, an introduction to neural networks and deep learning, and clustering), use of established tools for machine learning and practical aspects such as dimensionality reduction and cross-validation.

Entry requirements

60 credits of which 15 credits in mathematics and 15 credits in computer science. Probability and Statistics or Probability and Statistics DV. Algebra and Geometry or Linear Algebra and Geometry I. Participation in a second course in programming.

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.

• Introduction to Machine Learning

  Uppsala University

  Uppsala

  Start date: 18 January 2027

  End date: 21 March 2027

  Pace of study: 33 %