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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:34613364-6638-4566-b936-373161663564
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20231026T140000Z
DTEND:20231026T160000Z
SUMMARY:Lecture 1 - Bias and Variance
END:VEVENT
BEGIN:VEVENT
UID:62333661-6638-4465-a462-616131303737
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20231102T150000Z
DTEND:20231102T170000Z
SUMMARY:Lecture 2 - Linear Regression 1
END:VEVENT
BEGIN:VEVENT
UID:36363765-3062-4932-b038-616438653334
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20231109T150000Z
DTEND:20231109T170000Z
SUMMARY:Lecture 3 - Linear Regression II
END:VEVENT
BEGIN:VEVENT
UID:64323664-6639-4464-a630-383164393139
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20231116T150000Z
DTEND:20231116T170000Z
SUMMARY:Lecture 4 - Classification I
END:VEVENT
BEGIN:VEVENT
UID:36623565-3436-4537-a638-386538353033
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20231123T150000Z
DTEND:20231123T170000Z
SUMMARY:Lecture 5 - Classification II
END:VEVENT
BEGIN:VEVENT
UID:65393564-6432-4662-b537-313237663637
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20231130T150000Z
DTEND:20231130T170000Z
SUMMARY:Lecture 6 - Generalization
END:VEVENT
BEGIN:VEVENT
UID:33663239-6363-4235-b535-653033363535
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20231207T150000Z
DTEND:20231207T170000Z
SUMMARY:Lecture 7 - Model Selection
END:VEVENT
BEGIN:VEVENT
UID:65316364-3139-4161-a635-396166303163
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20231214T150000Z
DTEND:20231214T170000Z
SUMMARY:Lecture 8 - Beyond Linear
END:VEVENT
BEGIN:VEVENT
UID:30373832-6163-4431-a538-656531373866
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20240104T150000Z
DTEND:20240104T170000Z
SUMMARY:Lecture 9 - Dimensionality Reduction
END:VEVENT
BEGIN:VEVENT
UID:32373465-6132-4831-a331-643531353230
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20240111T150000Z
DTEND:20240111T170000Z
SUMMARY:Lecture 10 - Clustering
END:VEVENT
BEGIN:VEVENT
UID:38353765-6364-4735-b538-616164383031
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20240118T150000Z
DTEND:20240118T170000Z
SUMMARY:Lecture 11 - Trees and Forests
END:VEVENT
BEGIN:VEVENT
UID:61336162-3164-4339-a637-336261336534
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20240125T150000Z
DTEND:20240125T170000Z
SUMMARY:Lecture 12 - Support Vector Machines
END:VEVENT
BEGIN:VEVENT
UID:39663966-3639-4237-a562-646431386632
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20240201T150000Z
DTEND:20240201T170000Z
SUMMARY:Lecture 13 - Neural Networks
END:VEVENT
BEGIN:VEVENT
UID:65663031-6239-4935-a138-353331393362
DTSTAMP:20260514T005527Z
DESCRIPTION:
DTSTART:20240208T150000Z
DTEND:20240208T170000Z
SUMMARY:Lecture 14 - ML and the Real World
END:VEVENT
END:VCALENDAR
