Specialized courses

UiT Machine Learning Group is responsible for teaching Fys-3012 Pattern Recognition.

We also regularly organizes specialized PhD courses, most often in the form of reading groups, typically for 10 ECTS. Recent examples

  • Deep learning [spring 2017, fall 2015]
    • Convolutional neural networks
    • Restricted Boltzmann machines
    • Denoising autoencoders
    • Recurrent neural networks
  • Bayesian learning: Dirichlet processes [spring 2016]
  • Random forests [spring 2015]
    • Based on Microsoft Technical Report TR-2011-114 A. Criminisi, J. Shotton, A. Konukoglu.
  • Gaussian Processes [fall 2014]
    • Based on C. E. Rasmussen, C. Williams, Gaussian Processes for Machine Learning.

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