Arvutiteaduse instituut
Logi sisse
  • English
  • Kursused
  • 2020/21 sügis
  • Masinõpe (MTAT.03.227)

Masinõpe 2020/21 sügis

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

Grading

Points for the homeworks will be here. 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 colab before submitting (no output - no grades).
  3. Do not change the description of tasks (even if there is a typo/mistake/etc).
  4. Remove unnecessary long prints after debugging.
  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.

HW1 - supervised learning (Deadline: 20.09.2020)

closed

HW2 - unsupervised learning (Deadline: 04.10.2020)

closed

HW3 - deep learning (Deadline: 18.10.2020)

closed

Paper summary (Deadline: 26.10.2020)

closed

HW4 - regularisation methods (Deadline: 01.11.2020)

closed

HW5 - ensemble learning (Deadline: 15.11.2020)

closed

HW6 - performance metrics (Deadline: 06.12.2020)

closed

Project presentation slides (in PDF format)

closed

  • Arvutiteaduse instituut
  • Loodus- ja täppisteaduste valdkond
  • Tartu Ülikool
Tehniliste probleemide või küsimuste korral kirjuta:
Tartu Ülikooli arvutiteaduse instituudi kursuste läbiviimist toetavad järgmised programmid:
iktp regionaalarengu fondi logo euroopa sotsiaalfondi logo tiigriülikooli logo it akadeemia logo