Thomas Hofmann: Course units in Autumn Semester 2022

Name Prof. Dr. Thomas Hofmann
FieldData Analytics
Address
Dep. Informatik
ETH Zürich, CAB F 48.1
Universitätstrasse 6
8092 Zürich
SWITZERLAND
E-mailthomas.hofmann@inf.ethz.ch
URLhttp://www.inf.ethz.ch/department/faculty-profs/person-detail.html?persid=148752
DepartmentComputer Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
252-0945-15LDoctoral Seminar Machine Learning (HS22)
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 credits1SN. He, T. Hofmann, A. Krause, G. Rätsch, M. Sachan
252-4811-00LMachine Learning Seminar 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 credits2SV. Boeva, T. Hofmann, E. Krymova
263-3210-00LDeep Learning Information Restricted registration - show details
Number of participants limited to 320.
8 credits3V + 2U + 2AT. Hofmann, F. Perez Cruz, N. Perraudin