Homework submission
Please review the following rules before submitting your assignment:
- Please, submit only .ipynb that you extract from the Colaboratory.
- Run your homework exercises before submitting (output should be present, preferably restart the kernel and press run all the cells).
- Do not change the description of tasks in red (even if there is a typo|mistake|etc).
- Please, make sure to avoid unnecessary long printouts.
- Each task should be solved right under the question of the task and not elsewhere.
- 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: 22.09.2024)
this submission is closed
HW2 - unsupervised learning (Deadline: 06.10.2024)
The instructions for the HW2 can be found here.
this submission is closed
HW3 - deep learning (Deadline: 20.10.2024)
The instructions for the HW3 can be found here.
this submission is closed
Project plan (Deadline: 21.10.2024)
Fill in and submit the project plan by copying the provided project plan template. Please submit one PDF file per team.
this submission is closed
Paper summary (Deadline: 27.10.2024)
See the instructions here. Remember to submit only one PDF file.
this submission is closed
HW4 - regularisation learning (Deadline: 03.11.2024)
The instructions for the HW4 can be found here.
Lahenduste esitamiseks peate olema sisse loginud ja kursusele registreerunud.
HW5 - ensemble learning (Deadline: 17.11.2024)
The instructions for the HW5 can be found here
Lahenduste esitamiseks peate olema sisse loginud ja kursusele registreerunud.
HW6 - performance metrics (Deadline: 8.12.2024)
the submission will open on November 25