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  2. 2026/27 fall
  3. Machine Learning (MTAT.03.227)
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Machine Learning 2026/27 fall

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Lectures

Zoom link to lectures: (log into courses to see link)
Lectures are held every week on Monday at 10:15 in room 1037.

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

Lecture #DateTitleSlidesRecording
Lecture 01September 7Course organisation + Supervised learning (part I)TBATBA
Lecture 02September 14Supervised learning (part II) + KahootTBATBA
Lecture 03September 21Unsupervised learning (part I)TBATBA
Lecture 04September 28Unsupervised learning (part II) + KahootTBATBA
Lecture 05October 5Deep learning (part I)TBATBA
Lecture 06October 12Deep learning (part II) + KahootTBATBA
Lecture 07October 19Regularisation methods (part I)TBATBA
Lecture 08October 26Regularisation methods (part II) + KahootTBATBA
Lecture 09November 2Ensemble learning (part I)TBATBA
Lecture 10November 9Ensemble learning (part II) + KahootTBATBA
Lecture 11November 16–18Intermediate project presentations
Lecture 12November 23Performance metrics (part I)TBATBA
Lecture 13November 30Performance metrics (part II) + KahootTBATBA
Lecture 14December 7Guest lectureTBATBA
Lecture 15December 14–16Final project presentations

Guest talks

  • Guest talk in 2026: TBA
  • Guest talk in 2025: Machine Learning Competitions - how to start and how to (sometimes) win Kaggle competitions by Kea Kohv
  • Guest talk in 2024: by Pipedrive
  • Guest talk in 2023: Roman Ring (Google DeepMind)
  • Guest talk in 2022: Machine learning for musical data by Anna Aljanaki from the University of Tartu. The recording.
  • Guest talk in 2021: Reinforcement Learning by Ilya Kuzovkin from OffWorld. Slides and the recording.
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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