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X-WR-CALNAME:Elements of Machine Learning Calendar
X-WR-CALDESC:Events of the lecture Elements of Machine Learning
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VEVENT
UID:30366133-6565-4533-a562-323461653636
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20231026T140000Z
DTEND:20231026T160000Z
SUMMARY:Lecture 1 - Bias and Variance
END:VEVENT
BEGIN:VEVENT
UID:34336235-3031-4363-b136-633462313661
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20231102T150000Z
DTEND:20231102T170000Z
SUMMARY:Lecture 2 - Linear Regression 1
END:VEVENT
BEGIN:VEVENT
UID:31383039-3731-4962-b832-393061363365
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20231109T150000Z
DTEND:20231109T170000Z
SUMMARY:Lecture 3 - Linear Regression II
END:VEVENT
BEGIN:VEVENT
UID:35303038-3135-4062-b033-313233383932
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20231116T150000Z
DTEND:20231116T170000Z
SUMMARY:Lecture 4 - Classification I
END:VEVENT
BEGIN:VEVENT
UID:30356562-3462-4038-b465-373735343438
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20231123T150000Z
DTEND:20231123T170000Z
SUMMARY:Lecture 5 - Classification II
END:VEVENT
BEGIN:VEVENT
UID:62316463-3065-4236-b362-626136383666
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20231130T150000Z
DTEND:20231130T170000Z
SUMMARY:Lecture 6 - Generalization
END:VEVENT
BEGIN:VEVENT
UID:36663965-3966-4564-a663-343262386438
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20231207T150000Z
DTEND:20231207T170000Z
SUMMARY:Lecture 7 - Model Selection
END:VEVENT
BEGIN:VEVENT
UID:35626131-3966-4765-b134-353365616466
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20231214T150000Z
DTEND:20231214T170000Z
SUMMARY:Lecture 8 - Beyond Linear
END:VEVENT
BEGIN:VEVENT
UID:31343564-3033-4766-b937-383735373335
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20240104T150000Z
DTEND:20240104T170000Z
SUMMARY:Lecture 9 - Dimensionality Reduction
END:VEVENT
BEGIN:VEVENT
UID:37346664-3364-4438-b932-666230633966
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20240111T150000Z
DTEND:20240111T170000Z
SUMMARY:Lecture 10 - Clustering
END:VEVENT
BEGIN:VEVENT
UID:35333037-3838-4563-a662-363261346463
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20240118T150000Z
DTEND:20240118T170000Z
SUMMARY:Lecture 11 - Trees and Forests
END:VEVENT
BEGIN:VEVENT
UID:38393838-6236-4266-b530-363637386433
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20240125T150000Z
DTEND:20240125T170000Z
SUMMARY:Lecture 12 - Support Vector Machines
END:VEVENT
BEGIN:VEVENT
UID:64653937-3635-4865-a666-623239373734
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20240201T150000Z
DTEND:20240201T170000Z
SUMMARY:Lecture 13 - Neural Networks
END:VEVENT
BEGIN:VEVENT
UID:63663337-3037-4738-a333-623061656333
DTSTAMP:20260514T014223Z
DESCRIPTION:
DTSTART:20240208T150000Z
DTEND:20240208T170000Z
SUMMARY:Lecture 14 - ML and the Real World
END:VEVENT
END:VCALENDAR
