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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:65646239-6363-4765-a462-336162363736
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20231026T140000Z
DTEND:20231026T160000Z
SUMMARY:Eml23: Lecture 1 - Bias and Variance
END:VEVENT
BEGIN:VEVENT
UID:31643134-3062-4537-b339-613935353232
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20231102T150000Z
DTEND:20231102T170000Z
SUMMARY:Eml23: Lecture 2 - Linear Regression 1
END:VEVENT
BEGIN:VEVENT
UID:31353135-3236-4333-b532-613061613731
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20231109T150000Z
DTEND:20231109T170000Z
SUMMARY:Eml23: Lecture 3 - Linear Regression II
END:VEVENT
BEGIN:VEVENT
UID:34396530-3166-4238-a635-653033333064
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20231116T150000Z
DTEND:20231116T170000Z
SUMMARY:Eml23: Lecture 4 - Classification I
END:VEVENT
BEGIN:VEVENT
UID:61643862-3461-4933-a464-323161636462
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20231123T150000Z
DTEND:20231123T170000Z
SUMMARY:Eml23: Lecture 5 - Classification II
END:VEVENT
BEGIN:VEVENT
UID:62336638-3766-4636-b766-343265366332
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20231130T150000Z
DTEND:20231130T170000Z
SUMMARY:Eml23: Lecture 6 - Generalization
END:VEVENT
BEGIN:VEVENT
UID:37383634-3164-4835-b237-326330633062
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20231207T150000Z
DTEND:20231207T170000Z
SUMMARY:Eml23: Lecture 7 - Model Selection
END:VEVENT
BEGIN:VEVENT
UID:34636431-3666-4131-b635-393162303830
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20231214T150000Z
DTEND:20231214T170000Z
SUMMARY:Eml23: Lecture 8 - Beyond Linear
END:VEVENT
BEGIN:VEVENT
UID:34303839-3439-4137-b430-333735393663
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20240104T150000Z
DTEND:20240104T170000Z
SUMMARY:Eml23: Lecture 9 - Dimensionality Reduction
END:VEVENT
BEGIN:VEVENT
UID:34333335-3230-4662-b464-653339646431
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20240111T150000Z
DTEND:20240111T170000Z
SUMMARY:Eml23: Lecture 10 - Clustering
END:VEVENT
BEGIN:VEVENT
UID:38353435-3830-4564-a333-343663383163
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20240118T150000Z
DTEND:20240118T170000Z
SUMMARY:Eml23: Lecture 11 - Trees and Forests
END:VEVENT
BEGIN:VEVENT
UID:36653138-3461-4238-a662-623862663030
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20240125T150000Z
DTEND:20240125T170000Z
SUMMARY:Eml23: Lecture 12 - Support Vector Machines
END:VEVENT
BEGIN:VEVENT
UID:37656564-6535-4964-b765-616338393165
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20240201T150000Z
DTEND:20240201T170000Z
SUMMARY:Eml23: Lecture 13 - Neural Networks
END:VEVENT
BEGIN:VEVENT
UID:63303438-3837-4531-b165-373665393366
DTSTAMP:20260803T134636Z
DESCRIPTION:
DTSTART:20240208T150000Z
DTEND:20240208T170000Z
SUMMARY:Eml23: Lecture 14 - ML and the Real World
END:VEVENT
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