Machine Learning

Introduction to Machine Learning

General Information

Lecturer: Prof. Dr. Benno Stein
Lab advisors: Michael Völske, Janek Bevendorff
Student tutors: Ronald Kurniawan
Workload: 2 SWS Lecture, 1 SWS Lab
ECTS Credits: 4.5 or 6 depending on degree programme
Lecture: Th. 9:15am - 10:45am (weekly starting October 21st). Marienstraße 13 C - Hörsaal A
Lab: Th. 11:00am - 12:30pm (biweekly starting October 28th). Marienstraße 13 C - Hörsaal A
Examination: 21st February 2022, 09:00 - 11:00 am, HS B, M13C.
Moodle: moodle.uni-weimar.de/course/view.php?id=36220

Lecturenotes

Lab Class

Active participation in the lab class is a requirement for admission to the final exam. Depending on the number of ECTS credits you receive for the course, there is a different minimum score you must attain in the exercises.

To submit your solutions to the lab class exercises, you must enrol in the Moodle course for the lecture.  Working in groups of up to 3 students is encouraged -- once you have formed a group, each member must select the same group number in Moodle.

Literature

Please find the literature in the lecture slides.