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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:31383433-6430-4138-a366-363863383134
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20231026T140000Z
DTEND:20231026T160000Z
SUMMARY:Lecture 1 - Bias and Variance
END:VEVENT
BEGIN:VEVENT
UID:62633639-3461-4439-b933-623437343039
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20231102T150000Z
DTEND:20231102T170000Z
SUMMARY:Lecture 2 - Linear Regression 1
END:VEVENT
BEGIN:VEVENT
UID:32623565-3432-4364-b865-333235626566
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20231109T150000Z
DTEND:20231109T170000Z
SUMMARY:Lecture 3 - Linear Regression II
END:VEVENT
BEGIN:VEVENT
UID:32336361-3333-4636-b866-303136343830
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20231116T150000Z
DTEND:20231116T170000Z
SUMMARY:Lecture 4 - Classification I
END:VEVENT
BEGIN:VEVENT
UID:62623363-3062-4730-a463-326530633161
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20231123T150000Z
DTEND:20231123T170000Z
SUMMARY:Lecture 5 - Classification II
END:VEVENT
BEGIN:VEVENT
UID:39636238-6130-4434-a437-396631656238
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20231130T150000Z
DTEND:20231130T170000Z
SUMMARY:Lecture 6 - Generalization
END:VEVENT
BEGIN:VEVENT
UID:64323434-6339-4937-b934-313066303662
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20231207T150000Z
DTEND:20231207T170000Z
SUMMARY:Lecture 7 - Model Selection
END:VEVENT
BEGIN:VEVENT
UID:36656433-3230-4938-b739-643439346562
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20231214T150000Z
DTEND:20231214T170000Z
SUMMARY:Lecture 8 - Beyond Linear
END:VEVENT
BEGIN:VEVENT
UID:33656661-3236-4330-b764-613562336636
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20240104T150000Z
DTEND:20240104T170000Z
SUMMARY:Lecture 9 - Dimensionality Reduction
END:VEVENT
BEGIN:VEVENT
UID:39613730-3639-4239-a230-663061346630
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20240111T150000Z
DTEND:20240111T170000Z
SUMMARY:Lecture 10 - Clustering
END:VEVENT
BEGIN:VEVENT
UID:34663263-3966-4162-a335-623030363232
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20240118T150000Z
DTEND:20240118T170000Z
SUMMARY:Lecture 11 - Trees and Forests
END:VEVENT
BEGIN:VEVENT
UID:31323534-3661-4365-b034-386632323337
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20240125T150000Z
DTEND:20240125T170000Z
SUMMARY:Lecture 12 - Support Vector Machines
END:VEVENT
BEGIN:VEVENT
UID:36636139-3765-4366-b663-663762363530
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20240201T150000Z
DTEND:20240201T170000Z
SUMMARY:Lecture 13 - Neural Networks
END:VEVENT
BEGIN:VEVENT
UID:64623439-6232-4366-a435-656234306432
DTSTAMP:20260925T001502Z
DESCRIPTION:
DTSTART:20240208T150000Z
DTEND:20240208T170000Z
SUMMARY:Lecture 14 - ML and the Real World
END:VEVENT
END:VCALENDAR
