Allgemeine Informationen
Veranstaltungsname | Übung: 5.04.4215 Ü1 Exercises to Machine Learning II – Advanced Learning and Inference Methods |
Untertitel | |
Veranstaltungsnummer | 5.04.4215 Ü1 |
Semester | SoSe2023 |
Aktuelle Anzahl der Teilnehmenden | 5 |
erwartete Teilnehmendenanzahl | 16 |
Heimat-Einrichtung | Institut für Physik |
Veranstaltungstyp | Übung in der Kategorie Lehre |
Erster Termin | Dienstag, 18.04.2023 10:15 - 11:45, Ort: W03 1-154 |
Art/Form | Ü |
Voraussetzungen | The course requires the introductory course “Machine Learning – Probabilistic Unsupervised Learning” or equivalent courses. Furthermore, 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) is required. Additionally, programming skills are required (the course supports matlab & python). Many relations to statistical physics, statistics, probability theory, stochastic exist but the course's content will be developed independently of detailed prior knowledge in these fields. |
Lehrsprache | englisch |