Machine Learning 2025/26 fall

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 #	Instructor	Room	Zoom room	Google drive
Group 1	Dmytro	1008	(log into courses to see link)	link to Google Drive
Group 2	Mari-Liis	2010	(log into courses to see link)	link to Google Drive
Group 3	Chingiz	1017	Zoom (log into courses to see link)	link to Google Drive
Group 4	Ali	1006	Zoom (log into courses to see link)	link to Google Drive
Group 5	Hasan	1008	Zoom (log into courses to see link)	link to Google Drive
Group 6	Dzvinka	1006	Zoom (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 #	Date	Title	Recording
Practice 01	September 8–10	Supervised learning (part I)	mp4
Practice 02	September 15–17	Supervised learning (part II)	mp4
Practice 03	September 22–24	Unsupervised learning (part I)
Practice 04	September 29–October 1	Unsupervised learning (part II)
Practice 05	October 6–8	Deep learning (part I)
Practice 06	October 13–15	Deep learning (part II)
Practice 07	October 20–22	Regularisation methods
Practice 08	October 27–29	TBA
Practice 09	November 3–5	Ensemble learning (part I)
Practice 10	November 10–12	Ensemble learning (part II)
Practice 11	November 17–19	Intermediate project presentations
Practice 12	November 24–26	Performance metrics
Practice 13	December 1–3	Project consultations
Practice 14	December 8–10	TBA
Practice 15	December 15–17	Final project presentations