BAYESIAN STATISTICS FOR MACHINE LEARNING

Card image cap
  • DURATION
    2 WEEKS
  • COURSE LEVEL
    Second Cycle
  • CREDITS
    3.0 HP
  • INSTITUTION
    Halmstad University
  • STUDY TYPE
    Distance

COURSE DESCRIPTION

The course is broken down into:

  • Basic Bayesian concepts
  • Selecting priors, deriving some equations
  • Bayesian inference, Parametric model estimation
  • Sampling based methods
  • Sequential inference (Kalman filters, particle filters)
  • Approximate inference, variational inference
  • Model selection (missing data)
  • Bayesian deep neural networks

courses you may also like