Masinõpe 2025/26 sügis

Homework submission

Please review the following rules before submitting your assignment:

1. Please, submit only .ipynb that you extract from the Colaboratory.
2. Run your homework exercises before submitting (output should be present, preferably restart the kernel and press run all the cells).
3. Do not change the description of tasks in red (even if there is a typo|mistake|etc).
4. Please, make sure to avoid unnecessary long printouts.
5. Each task should be solved right under the question of the task and not elsewhere.
6. Solutions to both regular and bonus exercises should be submitted in one IPYNB file.

Note: The late days will be used automatically if you submit after the deadline unless you let us know in advance.

HW1 - supervised learning (Deadline: 21.09.2025)

Check the following link for the Colaboratory with HW1 exercises.

HW2 - unsupervised learning (Deadline: 05.10.2025)

This submission will open on September 22

HW3 - deep learning (Deadline: 19.10.2025)

This submission will open on October 6

Project plan (Deadline: 12.10.2025)

Paper summary (Deadline: 26.10.2025)

This submission will open on October 13

HW4 - regularisation learning (Deadline: 02.11.2025)

This submission will open on October 20

HW5 - ensemble learning (Deadline: 16.11.2025)

This submission will open on November 3

HW6 - performance metrics (Deadline: 7.12.2025)

This submission will open on November 24

Team evaluation (Deadline: 21.12.2025)

This submission will open on the last week of December