We use cookies to ensure you have the best browsing experience on our website and to help us improve the site. By continuing to browse the site you are agreeing to our use of cookies. Read more about how we use cookies here

This page in Swedish

Machine Learning, 4 credits

Course information

Research Education Subject

  • Computer Science

Course Syllabus

Course Syllabus


Course content

The course covers the following topics in machine learning:

  • Supervised and unsupervised algorithms for classification, prediction and clustering
  • Manual and automatic feature design
  • Dimensionality reduction techniques and feature selection
  • Practical recommendations for applying machine learning algorithms
  • Training and classification of neural networks
  • Bayesian learning and recommender systems.