ML fuer ICT

Machine Learning in Information and Communication Technology (ICT)

General information

  • Winter semester
  • 6 Credit Points
  • Lecturer: Prof. Dr.-Ing. Anja Klein; Prof. Dr. techn. Heinz Köppl; Prof. Dr.-Ing. Marius Pesavento; Prof. Dr.-Ing. Abdelhak Zoubir
  • Language: English
  • Lecture times and locations are available in TUCaN.
  • Components: lecture, exercise, Matlab exercise
  • The lecture slides and exercises are available in moodle

Content

  • Overview of probability theory
  • Probabilistic graphical models (PGMs)
  • Inference in PGMs
  • Specific PGMs
  • Mixture models and clustering
  • Regression and classification
  • Introduction to convex optimization
  • Basis function regression and classification as optimization problems
  • Sparse estimation
  • Variational inference
  • Deep learning

Contact person

Christian Wildner, member of the Bioinspired Communication Systems Lab,