Joachim M. Buhmann: Lehrveranstaltungen im Frühjahrssemester 2019 |
Name | Herr Prof. em. Dr. Joachim M. Buhmann |
Lehrgebiet | Informatik (Information Science and Engineering) |
Adresse | Institut für Maschinelles Lernen ETH Zürich, OAT Y 13.2 Andreasstrasse 5 8092 Zürich SWITZERLAND |
Telefon | +41 44 632 31 24 |
jbuhmann@inf.ethz.ch | |
URL | http://www.ml.inf.ethz.ch/ |
Departement | Informatik |
Beziehung | Professor emeritus |
Nummer | Titel | ECTS | Umfang | Dozierende | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
252-0526-00L | Statistical Learning Theory | 7 KP | 3V + 2U + 1A | ||||||||
252-0526-00 V | Statistical Learning Theory | 3 Std. |
| J. M. Buhmann | |||||||
252-0526-00 U | Statistical Learning Theory | 2 Std. |
| J. M. Buhmann | |||||||
252-0526-00 A | Statistical Learning Theory | 1 Std. | J. M. Buhmann | ||||||||
252-0945-08L | Doctoral Seminar Machine Learning (FS19) Only for Computer Science Ph.D. students. This doctoral seminar is intended for PhD students affiliated with the Instutute 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 | 2S | ||||||||
252-0945-00 S | Doctoral Seminar Machine Learning | 2 Std. |
| J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch | |||||||
401-5680-00L | Foundations of Data Science Seminar | 0 KP | |||||||||
401-5680-00 K | Foundations of Data Science Seminar | 4s Std. | P. L. Bühlmann, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, N. Meinshausen, G. Rätsch, S. van de Geer |