Arvutiteaduse instituut
  1. Kursused
  2. 2025/26 sügis
  3. Masinõpe (MTAT.03.227)
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Masinõpe 2025/26 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 3Chingiz1017Zoom (log into courses to see link)link to Google Drive
Group 4Ali1006Zoom (log into courses to see link)link to Google Drive
Group 5Hasan1008Zoom (log into courses to see link)link to Google Drive
Group 6Dzvinka1006Zoom (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 8–10Supervised learning (part I)mp4
Practice 02September 15–17Supervised learning (part II)mp4
Practice 03September 22–24Unsupervised learning (part I) 
Practice 04September 29–October 1Unsupervised learning (part II) 
Practice 05October 6–8Deep learning (part I) 
Practice 06October 13–15Deep learning (part II) 
Practice 07October 20–22Regularisation methods 
Practice 08October 27–29TBA
Practice 09November 3–5Ensemble learning (part I) 
Practice 10November 10–12Ensemble learning (part II) 
Practice 11November 17–19Intermediate project presentations
Practice 12November 24–26Performance metrics 
Practice 13December 1–3Project consultations
Practice 14December 8–10TBA
Practice 15December 15–17Final project presentations
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