eventMachine Learning Lab [Machine Learning Lab] (S)
person Ulf Brefeld

Next appointment: 15. October at 14:15
This course belongs to the Wintersemester 2026/2027!

Dates

weekly | Thursday | 14:15 - 15:45 | 12.10.2026 - 29.01.2027 | C 12.108 Seminarraum

Curriculum context

Combined academic performance
Milestone presentations (33%)
Active participation in meetings (33%)
Active participation in developing a joint solution (34%)
Date of assessment: Thursday, 28.01.2027
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
Anzeige von Anmeldebeginn und -ende systembedingt. Selbständige Anmeldung nur zum Prüfungstermin und nicht zum Wiederholungstermin möglich.

Organizational information

Seminar
Vollständig Präsenz
2
centralized list procedure without participant limit
30

Registration

centralized list procedure without participant limit

Registration does not begin until 02.10.2026 at 08:00. It ends on 12.10.2026 at 23:59.

Persons

Content

Englisch
Machine Learning Lab
Guest auditor program

Address a learning task in a data-driven fashion. After reviewing related work, you'll formalize the problem, derive an appropriate method to solve it, implement the method, define an experimental setup and identify relevant baselines and empirically evaluate your approach. The learning task can be arbitrarily defined. We provide fallback problems but bringing your own idea(s) and/or data is more than welcome! The final report may have the form of a research paper. We'll have milestones where progress is reported in short presentations.

Learn to appropriately address a task in a data-driven fashion (related work, technical approach, empirical evaluation and interpretation of outcomes).

Evaluation

This course has not been registered for teaching evaluation yet.

Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html

DE | EN
IMPRINT
GET SUPPORT!