Arvutiteaduse instituut
  1. Kursused
  2. 2024/25 sügis
  3. Masinõpe (MTAT.03.227)
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Masinõpe 2024/25 sügis

  • Main
  • Lectures
  • Practice sessions
  • Homeworks
  • Projects
  • Paper summary
  • Grades
  • Links

Before the practice sessions

In practice sessions we will be working in Colab and Python 3. Ideally, familiarize yourself with NumPy, Pandas and Colabs before the practice sessions.

Zoom links for online participation and Colabs

Group #InstructorRoomZoom roomGoogle drive
Group 1Dmytro1008(log into courses to see link)link to Google Drive
Group 2Mari-Liis2010(log into courses to see link)link to Google Drive
Group 3Illia2034Zoom (log into courses to see link)link to Google Drive
Group 4Hasan2010Zoom (log into courses to see link)link to Google Drive
Group 5Joonas2034Zoom (log into courses to see link)link to Google Drive
Group 6Dzvinka2010Zoom (log into courses to see link)link to Google Drive

Most of the time, when you feel healthy, we recommend attending practice sessions in person. Nevertheless, there is always a possibility to take the course remotely.

Practice session schedule

The following schedule is subject to change. Keep an eye on our Slack channel for updates!

Practice #DateTitleRecording
Practice 01September 9-11Supervised learning (part I)mp4
Practice 02September 16-18Supervised learning (part II)mp4
Practice 03September 23-25Unsupervised learning (part I)mp4
Practice 04Sep 30-Oct 2Unsupervised learning (part II)mp4
Practice 05October 7-9Deep learning (part I)mp4
Practice 06October 14-16Deep learning (part II)mp4
Practice 07October 21-23Regularisation methodsmp4
Practice 08October 28-30break
Practice 09November 4-6Ensemble learning (part I)mp4
Practice 10November 11-13Ensemble learning (part II)mp4
Practice 11November 18-20Intermediate project presentations
Practice 12November 25-27Performance metricsmp4
Practice 13December 2-4Project consultations
Practice 14December 9-11No practice sessions this week
Practice 15December 16-18Final project presentations
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