Symbolic Machine Learning (B4M46SMU and BE4M46SMU)

Annotation

The course will consist of the following parts:

  • Reinforcement learning
  • Learning probability distributions with a graphical model (Bayes Networks)
  • Natural language processing
  • Selected topics from computational learning theory.

The lectures are given in English for all students.

Expected Distribution of Student Effort

Hours supervised sessionsself-study/homeworktotal
lectures282856
tutorials282856
projects05353
total56109 165

165 hours ~ 6 ECTS credits

Teachers

courses/smu/start.txt · Last modified: 2022/05/11 12:52 by souregus