Institute of Computer Science
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  2. 2025/26 fall
  3. Machine Learning (MTAT.03.227)
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Machine Learning 2025/26 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 8Course organisation + Supervised learning (part I)PDF, PDFmp4
Lecture 02September 15Supervised learning (part II) + KahootPDFmp4
Lecture 03September 22Unsupervised learning (part I)  
Lecture 04September 29Unsupervised learning (part II) + Kahoot  
Lecture 05October 6Deep learning (part I)  
Lecture 06October 13Deep learning (part II) + Kahoot  
Lecture 07October 20Regularisation methods (part I)  
Lecture 08October 27Regularisation methods (part II) + Kahoot  
Lecture 09November 3Ensemble learning (part I)  
Lecture 10November 10Ensemble learning (part II) + Kahoot  
Lecture 11November 17–19Intermediate project presentations
Lecture 12November 24Performance metrics (part I)  
Lecture 13December 1Performance metrics (part II) + Kahoot  
Lecture 14December 8Guest Lecture  
Lecture 15December 15–17Final project presentations

Guest talk

  • Guest talk in 2025: TBA
  • 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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