BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//127.0.1.1//NONSGML kigkonsult.se iCalcreator 2.41.92//
CALSCALE:GREGORIAN
METHOD:PUBLISH
UID:61323830-6239-4463-a335-656232353264
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:32653932-3563-4639-b765-313638393631
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20231026T140000Z
DTEND:20231026T160000Z
SUMMARY:Eml23: Lecture 1 - Bias and Variance
END:VEVENT
BEGIN:VEVENT
UID:61353262-6636-4236-b639-643865646632
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20231102T150000Z
DTEND:20231102T170000Z
SUMMARY:Eml23: Lecture 2 - Linear Regression 1
END:VEVENT
BEGIN:VEVENT
UID:33336236-3030-4338-b936-653762616438
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20231109T150000Z
DTEND:20231109T170000Z
SUMMARY:Eml23: Lecture 3 - Linear Regression II
END:VEVENT
BEGIN:VEVENT
UID:64326664-3365-4661-b233-663338626234
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20231116T150000Z
DTEND:20231116T170000Z
SUMMARY:Eml23: Lecture 4 - Classification I
END:VEVENT
BEGIN:VEVENT
UID:31383965-6535-4330-b631-303637313233
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20231123T150000Z
DTEND:20231123T170000Z
SUMMARY:Eml23: Lecture 5 - Classification II
END:VEVENT
BEGIN:VEVENT
UID:66613334-3230-4035-b366-623563383030
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20231130T150000Z
DTEND:20231130T170000Z
SUMMARY:Eml23: Lecture 6 - Generalization
END:VEVENT
BEGIN:VEVENT
UID:33393162-3330-4465-a136-306632343033
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20231207T150000Z
DTEND:20231207T170000Z
SUMMARY:Eml23: Lecture 7 - Model Selection
END:VEVENT
BEGIN:VEVENT
UID:61316163-6265-4665-a164-653264333833
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20231214T150000Z
DTEND:20231214T170000Z
SUMMARY:Eml23: Lecture 8 - Beyond Linear
END:VEVENT
BEGIN:VEVENT
UID:30613539-3965-4766-b565-396532356539
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20240104T150000Z
DTEND:20240104T170000Z
SUMMARY:Eml23: Lecture 9 - Dimensionality Reduction
END:VEVENT
BEGIN:VEVENT
UID:33333831-3461-4664-a534-346563623836
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20240111T150000Z
DTEND:20240111T170000Z
SUMMARY:Eml23: Lecture 10 - Clustering
END:VEVENT
BEGIN:VEVENT
UID:38333163-3931-4431-a530-666435613234
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20240118T150000Z
DTEND:20240118T170000Z
SUMMARY:Eml23: Lecture 11 - Trees and Forests
END:VEVENT
BEGIN:VEVENT
UID:38323637-3366-4461-b565-353537386335
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20240125T150000Z
DTEND:20240125T170000Z
SUMMARY:Eml23: Lecture 12 - Support Vector Machines
END:VEVENT
BEGIN:VEVENT
UID:35353265-6339-4238-b132-343136383666
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20240201T150000Z
DTEND:20240201T170000Z
SUMMARY:Eml23: Lecture 13 - Neural Networks
END:VEVENT
BEGIN:VEVENT
UID:66666339-6632-4636-a533-613839643663
DTSTAMP:20260604T104031Z
DESCRIPTION:
DTSTART:20240208T150000Z
DTEND:20240208T170000Z
SUMMARY:Eml23: Lecture 14 - ML and the Real World
END:VEVENT
END:VCALENDAR
