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Doctoral course

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.