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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
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UID:31373732-3739-4337-a330-353530643162
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20231026T140000Z
DTEND:20231026T160000Z
SUMMARY:Eml23: Lecture 1 - Bias and Variance
END:VEVENT
BEGIN:VEVENT
UID:61656336-3663-4634-a139-646461353836
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20231102T150000Z
DTEND:20231102T170000Z
SUMMARY:Eml23: Lecture 2 - Linear Regression 1
END:VEVENT
BEGIN:VEVENT
UID:36663766-3731-4636-b031-323232623732
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20231109T150000Z
DTEND:20231109T170000Z
SUMMARY:Eml23: Lecture 3 - Linear Regression II
END:VEVENT
BEGIN:VEVENT
UID:66663932-6133-4331-b239-356137663964
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20231116T150000Z
DTEND:20231116T170000Z
SUMMARY:Eml23: Lecture 4 - Classification I
END:VEVENT
BEGIN:VEVENT
UID:34313934-3235-4362-b432-343231393430
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20231123T150000Z
DTEND:20231123T170000Z
SUMMARY:Eml23: Lecture 5 - Classification II
END:VEVENT
BEGIN:VEVENT
UID:62653364-3266-4930-b836-383865313938
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20231130T150000Z
DTEND:20231130T170000Z
SUMMARY:Eml23: Lecture 6 - Generalization
END:VEVENT
BEGIN:VEVENT
UID:35356631-3632-4039-a431-623162333162
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20231207T150000Z
DTEND:20231207T170000Z
SUMMARY:Eml23: Lecture 7 - Model Selection
END:VEVENT
BEGIN:VEVENT
UID:37646161-3430-4434-b037-633736333863
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20231214T150000Z
DTEND:20231214T170000Z
SUMMARY:Eml23: Lecture 8 - Beyond Linear
END:VEVENT
BEGIN:VEVENT
UID:66393065-6465-4531-b636-306333653063
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20240104T150000Z
DTEND:20240104T170000Z
SUMMARY:Eml23: Lecture 9 - Dimensionality Reduction
END:VEVENT
BEGIN:VEVENT
UID:32386631-3666-4731-b431-623031396462
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20240111T150000Z
DTEND:20240111T170000Z
SUMMARY:Eml23: Lecture 10 - Clustering
END:VEVENT
BEGIN:VEVENT
UID:37306466-6164-4964-a431-366439333934
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20240118T150000Z
DTEND:20240118T170000Z
SUMMARY:Eml23: Lecture 11 - Trees and Forests
END:VEVENT
BEGIN:VEVENT
UID:37376364-3762-4834-b236-386530643166
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20240125T150000Z
DTEND:20240125T170000Z
SUMMARY:Eml23: Lecture 12 - Support Vector Machines
END:VEVENT
BEGIN:VEVENT
UID:37373430-3635-4139-b561-363565313166
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20240201T150000Z
DTEND:20240201T170000Z
SUMMARY:Eml23: Lecture 13 - Neural Networks
END:VEVENT
BEGIN:VEVENT
UID:66383232-3566-4838-a237-373562383531
DTSTAMP:20260904T100433Z
DESCRIPTION:
DTSTART:20240208T150000Z
DTEND:20240208T170000Z
SUMMARY:Eml23: Lecture 14 - ML and the Real World
END:VEVENT
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