Thomas Hofmann: Course units in Autumn Semester 2019

Name Prof. Dr. Thomas Hofmann
FieldData Analytics
Dep. Informatik
ETH Zürich, CAB F 48.1
Universitätstrasse 6
8092 Zürich
DepartmentComputer Science
RelationshipFull Professor

252-0945-09LDoctoral Seminar Machine Learning (HS19) Restricted registration - show details
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 credits2SJ. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
252-4811-00LMachine Learning Seminar Information Restricted registration - show details
Number of participants limited to 24.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
2 credits2ST. Hofmann, G. Rätsch
263-3210-00LDeep Learning Information 5 credits2V + 1U + 1AT. Hofmann
401-5680-00LFoundations of Data Science Seminar Information 0 creditsP. L. Bühlmann, A. Bandeira, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, G. Rätsch, C. Uhler, S. van de Geer