Arvutiteaduse instituut
  1. Kursused
  2. 2021/22 sügis
  3. Masinõpe (MTAT.03.227)
EN
Logi sisse

Masinõpe 2021/22 sügis

  • Main
  • Lectures
  • Practice sessions
  • Homeworks
  • Projects
    • Finished projects
  • Paper summary
  • 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.

Before attending practice sessions in person, please, don't forget to register your presence here.

Practice Sessions

Zoom links for online participation and Colabs

Group #InstructorZoom roomGoogle drive
Group 1Dmytro(log into courses to see link)link to Google Drive
Group 2Tetiana Rabiichuk(log into courses to see link)link to Google Drive
Group 3Tetiana ShtymZoom (log into courses to see link)link to Google Drive
Group 4Mohammed AliZoom (log into courses to see link)link to Google Drive
Group 5VictorZoom (log into courses to see link)link to Google Drive
Group 6Taavi LuikZoom (log into courses to see link)link to Google Drive

If you feel confident and ideally fully vaccinated, please, do attend practice sessions in person.

Practice session schedule

Practice #DateTitleRecording
Practice 01September 6-8Course organisation + Supervised learning (part I)mp4
Practice 02September 13-15Supervised learning (part II)mp4
Practice 03September 20-22Unsupervised learning (part I)mp4
Practice 04September 27-29Unsupervised learning (part II)mp4
Practice 05October 4-6Deep learning (part I)mp4
Practice 06October 11-13Deep learning (part II)mp4
Practice 07October 18-20Regularisation methods (part I)mp4
Practice 08October 25-27Regularisation methods (part II)no practice session
Practice 09November 1-3Ensemble learning (part I)mp4
Practice 10November 8-10Ensemble learning (part II)mp4
Practice 11November 15-17Intermediate project presentations
Practice 12November 22-24Performance metrics (part I)mp4
Practice 13November 29-December 1Project consultations
Practice 14December 6-8No practice sessions this week
Practice 15December 13-15Final project presentations

This schedule is subject to change.

  • Arvutiteaduse instituut
  • Loodus- ja täppisteaduste valdkond
  • Tartu Ülikool
Tehniliste probleemide või küsimuste korral kirjuta:

Kursuse sisu ja korralduslike küsimustega pöörduge kursuse korraldajate poole.
Õppematerjalide varalised autoriõigused kuuluvad Tartu Ülikoolile. Õppematerjalide kasutamine on lubatud autoriõiguse seaduses ettenähtud teose vaba kasutamise eesmärkidel ja tingimustel. Õppematerjalide kasutamisel on kasutaja kohustatud viitama õppematerjalide autorile.
Õppematerjalide kasutamine muudel eesmärkidel on lubatud ainult Tartu Ülikooli eelneval kirjalikul nõusolekul.
Tartu Ülikooli arvutiteaduse instituudi kursuste läbiviimist toetavad järgmised programmid:
euroopa sotsiaalfondi logo