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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:61636336-6232-4961-b438-383461313833
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20231026T140000Z
DTEND:20231026T160000Z
SUMMARY:Eml23: Lecture 1 - Bias and Variance
END:VEVENT
BEGIN:VEVENT
UID:65666239-3062-4930-b765-613233366130
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20231102T150000Z
DTEND:20231102T170000Z
SUMMARY:Eml23: Lecture 2 - Linear Regression 1
END:VEVENT
BEGIN:VEVENT
UID:63653130-3837-4162-a532-366334633161
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20231109T150000Z
DTEND:20231109T170000Z
SUMMARY:Eml23: Lecture 3 - Linear Regression II
END:VEVENT
BEGIN:VEVENT
UID:31666233-3939-4561-b638-333033376664
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20231116T150000Z
DTEND:20231116T170000Z
SUMMARY:Eml23: Lecture 4 - Classification I
END:VEVENT
BEGIN:VEVENT
UID:37613036-3761-4464-a566-336533636464
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20231123T150000Z
DTEND:20231123T170000Z
SUMMARY:Eml23: Lecture 5 - Classification II
END:VEVENT
BEGIN:VEVENT
UID:35373933-3931-4765-b161-643036323635
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20231130T150000Z
DTEND:20231130T170000Z
SUMMARY:Eml23: Lecture 6 - Generalization
END:VEVENT
BEGIN:VEVENT
UID:64613132-6637-4638-b663-643466633062
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20231207T150000Z
DTEND:20231207T170000Z
SUMMARY:Eml23: Lecture 7 - Model Selection
END:VEVENT
BEGIN:VEVENT
UID:31306466-3530-4631-b634-346661646131
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20231214T150000Z
DTEND:20231214T170000Z
SUMMARY:Eml23: Lecture 8 - Beyond Linear
END:VEVENT
BEGIN:VEVENT
UID:39656139-6161-4337-b634-633536656162
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20240104T150000Z
DTEND:20240104T170000Z
SUMMARY:Eml23: Lecture 9 - Dimensionality Reduction
END:VEVENT
BEGIN:VEVENT
UID:65626130-3162-4761-b335-663266633366
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20240111T150000Z
DTEND:20240111T170000Z
SUMMARY:Eml23: Lecture 10 - Clustering
END:VEVENT
BEGIN:VEVENT
UID:31303265-3639-4665-a462-373834613038
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20240118T150000Z
DTEND:20240118T170000Z
SUMMARY:Eml23: Lecture 11 - Trees and Forests
END:VEVENT
BEGIN:VEVENT
UID:36336336-3462-4563-b337-623836303061
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20240125T150000Z
DTEND:20240125T170000Z
SUMMARY:Eml23: Lecture 12 - Support Vector Machines
END:VEVENT
BEGIN:VEVENT
UID:35316131-6632-4064-b232-633565336532
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20240201T150000Z
DTEND:20240201T170000Z
SUMMARY:Eml23: Lecture 13 - Neural Networks
END:VEVENT
BEGIN:VEVENT
UID:34343131-3065-4036-a332-353661653532
DTSTAMP:20260925T001331Z
DESCRIPTION:
DTSTART:20240208T150000Z
DTEND:20240208T170000Z
SUMMARY:Eml23: Lecture 14 - ML and the Real World
END:VEVENT
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