Symbolic Machine Learning (B4M36SMU and BE4M36SMU)

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.

165 hours ~ 6 ECTS credits

• Lecturers
  • Ondřej Kuželka (KN-E:434)
  • Gustav Šír (KN-E:435)
  • Filip Železný (KN-E:433)
• Course Assistants
  • Petr Ryšavý (KN:E-435)
  • Gustav Šír (KN-E:435)
  • Jan Tóth (KN:E-435)