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Lehrveranstaltungen
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xAI-MML-M Mathematics for Machine Learning -
- Dozent/in:
- Christian Ledig
- Angaben:
- Vorlesung, 2,00 SWS, ECTS: 6
- Termine:
- Di, 12:00 - 14:00, WE5/04.004
- Voraussetzungen / Organisatorisches:
- Degree Programs: MSc AI/CitH/WI/ISSS
No specific prior knowledge is required, but the following will be helpful.
- Working knowledge of programming (e.g., in Python).
- Completion of mathematical courses addressing concepts of linear algebra (e.g., KTR-MfI-2), calculus (e.g., WiMa-B-002), or statistics (e.g., Stat-B).
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xAI-Sem-B1: Bachelorseminar Erklärbares Maschinelles Lernen -
- Dozent/in:
- Christian Ledig
- Angaben:
- Seminar, 2,00 SWS, ECTS: 3
- Termine:
- Mo, 16:00 - 18:00, WE5/05.005
- Voraussetzungen / Organisatorisches:
- Interest and registration
Email with name, matriculation number, degree program to christian.ledig@uni-bamberg.de before 29.4.2024.
Eligibility
B.Sc. AI, B.Sc. SoSySc, (B.Sc. WI only after prior consultation with the examination office), (potentially also as MSc CitH course)
VC Course
https://vc.uni-bamberg.de/course/view.php?id=67941
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UnivIS ist ein Produkt der Config eG, Buckenhof |
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