Andreas Krause: Lerneinheiten im Frühjahrssemester 2023 |  |
| Name | Herr Prof. Dr. Andreas Krause |
| Lehrgebiet | Informatik |
| Adresse | Institut für Maschinelles Lernen ETH Zürich, OAT Y 13.1 Andreasstrasse 5 8092 Zürich SWITZERLAND |
| Telefon | +41 44 632 63 22 |
| Fax | +41 44 623 15 62 |
| krausea@ethz.ch | |
| URL | http://las.ethz.ch/krausea.html |
| Departement | Informatik |
| Beziehung | Ordentlicher Professor |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 252-0220-00L | Introduction to Machine Learning   Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact studiensekretariat@inf.ethz.ch | 8 KP | 4V + 2U + 1A | A. Krause, F. Yang | |
| 252-0945-16L | Doctoral Seminar Machine Learning (FS23) Only for Computer Science Ph.D. students. This doctoral seminar is intended for PhD students affiliated with the Institute for Machine Learning. Other PhD students who work on machine learning projects or related topics need approval by at least one of the organizers to register for the seminar. | 2 KP | 1S | N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, M. Sachan, J. Vogt, F. Yang | |