Thomas Hofmann: Courses in Autumn Semester 2019
|Name||Prof. Dr. Thomas Hofmann|
ETH Zürich, CAB F 48.1
|252-0945-09L||Doctoral Seminar Machine Learning (HS19) |
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.
|252-0945-00 S||Doctoral Seminar Machine Learning||2 hrs|
|J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch|
|252-4811-00L||Machine Learning Seminar |
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.
|252-4811-00 S||Machine Learning Seminar|
A first information meeting will be held on Wednesday, September 25, 2019, 15.00 - 17.00. Room HG E 21. In this meeting, the seminar topics will be presented and assigned to participants. The seminar talks will be given in two blocks on two Saturdays, namely November 16 and November 23. All participants are requested to be actively present on both dates.
|T. Hofmann, G. Rätsch|
|263-3210-00L||Deep Learning||5 credits||2V + 1U + 1A|
|263-3210-00 V||Deep Learning|
Vorlesung im HG F7 mit Videoübertragung im HG F5.
|263-3210-00 U||Deep Learning||1 hrs|
|263-3210-00 A||Deep Learning||1 hrs||T. Hofmann|
|401-5680-00L||Foundations of Data Science Seminar||0 credits|
|401-5680-00 K||Foundations of Data Science Seminar||4s hrs||P. 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|