General information
| Course name | Exercises: 5.04.4213 Ü2 Machine Learning I - Probabilistic Unsupervised Learning |
| Subtitle | Schwerpunkt: Akustik und Signalverarbeitung & Medizinphysik |
| Course number | 5.04.4213 Ü2 |
| Semester | WiSe23/24 |
| Current number of participants | 34 |
| expected number of participants | 30 |
| Home institute | Institute of Physics |
| Courses type | Exercises in category Teaching |
| First date | Tuesday, 24.10.2023 16:00 - 18:00, Room: W32 1-112 |
| Type/Form | Ü |
| Pre-requisites | Basic knowledge in higher Mathematics as taught as part of first degrees in Physics, Mathematics, Statistics, Engineering or Computer Science (basic linear algebra and analysis). Basic programming skills (course supports matlab & python). Many relations to statistical physics, statistics, probability theory, stochastic but the course's content will be developed independently of detailed prior knowledge in these fields. |
| Performance record | Exam or presentation or oral exam or homework or practical report |
| Lehrsprache | englisch |
