Courses



Elective Module 14: Machine Learning (10 ECTS-Credits, 5 h)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module possess in-depth knowledge and competencies regarding modern methods of machine learning and probabilistic modelling. They possess the skills to apply them to complex problems of machine learning and to further expand their knowledge to similar and more complex problems in an autonomous fashion.
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703642
VO Advanced Machine Learning (VO / 2h / 4 ECTS-AP)
Auddy Sayantan, Piater Justus
Details of this course
703643
PS Advanced Machine Learning (PS / 1h / 2 ECTS-AP)
Auddy Sayantan
Details of this course
703644
VO Probabilistic Models and Inference (VO / 1h / 2 ECTS-AP)
Piater Justus
Details of this course
ML
703645
PS Probabilistic Models and Inference (PS / 1h / 2 ECTS-AP)
Piater Justus
Details of this course

Notes:
  • There may still be changes in the courses offered as well as room allocation and course dates.
  • The course descriptions found in the English version of the course catalogue are for informational purposes only. Authoritative information can be found in the "Vorlesungsverzeichnis" (German version of the course catalogue).