The spring semester 2021 will generally take place online. New presence elements as of April 26 will be communicated by the lecturers.

Joachim M. Buhmann: Courses in Spring Semester 2019

Name Prof. Dr. Joachim M. Buhmann
FieldInformatik (Information Science and Engineering)
Address
Institut für Maschinelles Lernen
ETH Zürich, CAB G 69.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Telephone+41 44 632 31 24
Fax+41 44 632 15 62
E-mailjbuhmann@inf.ethz.ch
URLhttp://www.ml.inf.ethz.ch/
DepartmentComputer Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
252-0526-00LStatistical Learning Theory Information 7 credits3V + 2U + 1A
252-0526-00 VStatistical Learning Theory3 hrs
Mon14-16HG E 5 »
Tue09-10HG E 5 »
J. M. Buhmann
252-0526-00 UStatistical Learning Theory2 hrs
Mon16-18HG E 5 »
J. M. Buhmann
252-0526-00 AStatistical Learning Theory1 hrsJ. M. Buhmann
252-0945-08LDoctoral Seminar Machine Learning (FS19) Restricted registration - show details
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 credits2S
252-0945-00 SDoctoral Seminar Machine Learning2 hrs
Tue12-13CAB G 52 »
J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
401-5680-00LFoundations of Data Science Seminar Information 0 credits
401-5680-00 KFoundations of Data Science Seminar
4s hrsP. 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