Joachim M. Buhmann: Lehrveranstaltungen im Frühjahrssemester 2019

NameHerr Prof. em. Dr. Joachim M. Buhmann
LehrgebietInformatik (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
E-Mailjbuhmann@inf.ethz.ch
URLhttp://www.ml.inf.ethz.ch/
DepartementInformatik
BeziehungProfessor emeritus

NummerTitelECTSUmfangDozierende
252-0526-00LStatistical Learning Theory Information 7 KP3V + 2U + 1A
252-0526-00 VStatistical Learning Theory3 Std.
Mo14:15-16:00HG E 5 »
Di09:15-10:00HG E 5 »
J. M. Buhmann
252-0526-00 UStatistical Learning Theory2 Std.
Mo16:15-18:00HG E 5 »
J. M. Buhmann
252-0526-00 AStatistical Learning Theory1 Std.J. M. Buhmann
252-0945-08LDoctoral Seminar Machine Learning (FS19) Belegung eingeschränkt - Details anzeigen
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 KP2S
252-0945-00 SDoctoral Seminar Machine Learning2 Std.
Di12:15-13:00CAB G 52 »
J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
401-5680-00LFoundations of Data Science Seminar Information 0 KP
401-5680-00 KFoundations 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