BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260906T094042Z
UID:https://www.mpi-halle.mpg.de/events/39282/36599
DTSTART:20250108T080000Z
DTEND:20250109T150000Z
CLASS:PUBLIC
CREATED:20240923T080247Z
DESCRIPTION:The aim of the course is to introduce you to the most common Ma
 chine Learning tools. These tools include classical methods such as Linear
  Models\, standard methods like Trees and Support Vector Machines or more 
 recent tools like UMAP or Artificial Neuronal Networks. The tools will be 
 explained by discussing an hands-on example and by briefly working out the
  underlying mathematical idea.\nSpeaker: Markus Hohle
LAST-MODIFIED:20241210T115148Z
LOCATION:Max-Planck-Institut für Mikrostrukturphysik\, Weinberg 2\, 06120 
 Halle (Saale)\, Room: Lecture Hall\, B.1.11
ORGANIZER;CN=IMPRS-STNS:mailto: imprs@mpi-halle.mpg.de
SUMMARY:Workshop: Machine Learning Python Course
URL;VALUE=URI:https://www.mpi-halle.mpg.de/events/39282/36599
END:VEVENT
END:VCALENDAR