Joachim M. Buhmann: Courses in Autumn Semester 2022 |
Name | Prof. em. Dr. Joachim M. Buhmann |
Field | Computer Science (Information Science and Engineering) |
Address | Institut für Maschinelles Lernen ETH Zürich, OAT Y 13.2 Andreasstrasse 5 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 31 24 |
jbuhmann@inf.ethz.ch | |
URL | http://www.ml.inf.ethz.ch/ |
Department | Computer Science |
Relationship | Professor emeritus |
Number | Title | ECTS | Hours | Lecturers | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
252-0535-00L | Advanced Machine Learning ![]() | 10 credits | 3V + 2U + 4A | |||||||||||
252-0535-00 V | Advanced Machine Learning Freitag 8-10 HG F1 mit Videoübertragung ins HG F3 | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||
252-0535-00 U | Advanced Machine Learning Tutorials and QA sessions: Please attend only the tutorial assigned to you by the first letter of your surname. In case of collisions, please attend via Zoom the last tutorial of the week or watch its recording later. We do not attend requests to change tutorials. QA sessions will happen fully remotely with no recording happening. Wed 14-16 - CAB 61 - surname A-L Fri 14-16 - CAB G1 - surname M-Z (offered also via Zoom to anyone) Thu 17-18 (QA session) - Fully virtual through Zoom All tutorial sessions are identical. | 2 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||
252-0535-00 A | Advanced Machine Learning Project Work, no fixed presence required. | 4 hrs | J. M. Buhmann, C. Cotrini Jimenez | |||||||||||
252-5051-00L | Advanced Topics in Machine Learning ![]() ![]() Number of participants limited to 40. The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | 2 credits | 2S | |||||||||||
252-5051-00 S | Advanced Topics in Machine Learning
![]() | 2 hrs |
| J. M. Buhmann, R. Cotterell, N. He, F. Yang, M. El-Assady |