Arvutiteaduse instituut
  1. Kursused
  2. 2022/23 sügis
  3. Masinõpe (MTAT.03.227)
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Masinõpe 2022/23 sügis

  • Main
  • Lectures
  • Practice sessions
  • Homeworks
  • Projects
    • Finished projects
  • Paper summary
  • Links

Grading

Points for the homeworks will be (log into courses to see link) . You can find your pseudonym at https://courses.cs.ut.ee/user/my_data

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: 18.09.2022)

Submission for this homework is closed

HW2 - unsupervised learning (Deadline: 02.10.2022)

Submission for this homework is closed

HW3 - deep learning (Deadline: 16.10.2022)

Submission for this homework is closed

Paper summary (Deadline: 23.10.2022)

Submission for this homework is closed

HW4 - regularisation (Deadline: 30.10.2022)

Please, find the Colabotory with HW4

Submission for this homework is closed

HW5 - ensemble learning (Deadline: 13.11.2022)

Submission for this homework is closed

HW6 - performance metrics (Deadline: 04.12.2022)

Submission for this homework is closed

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