General information
| Course name | Advanced seminar: 5779HS Data Science |
| Subtitle | Advanced Topics in Machine Learning & Data Science |
| Course number | 5779HS |
| Semester | SoSe 25 |
| Current number of participants | 17 |
| expected number of participants | 25 |
| Home institute | Lehrstuhl für Data Science |
| participating institutes | Lehrstuhl Algorithmen für Intelligente Systeme, Lehrstuhl für Digitale und Strategische Kommunikation, Lehrstuhl für Kommunikationswissenschaft, Professur für Journalistik |
| Courses type | Advanced seminar in category Lehre (mit Prüfung) |
| First date | Tuesday, 29.04.2025 10:00 - 12:00 Uhr, Room: ((ITZ) 164 (Foyer Lst. Data Science)) |
| Type/Form | |
| Pre-requisites |
Data Science or Machine Learning or Network Science or Visual Analytics |
| Learning organisation |
Topics: Advanced Machine Learning Paradigms: Active Learning, Reinforcement Learning, Semi-Supervised Learning, Zero-Shot Learning Deep Learning for Network Science with a particular focus on Graph Embeddings Reproducability and Reliability of Machine Learning: Meta Learning, Evaluation Measures, Experiment Comparison Visual Analytics: Applications and Frameworks, Visual Analytics for Deep Learning |
| Performance record |
Präsentation und schriftliche Seminararbeit |
| SWS |
2 |
| Literatur | |
| ECTS points |
4 / 5 (depending on Study Progra |
