Arvutiteaduse instituut
  1. Kursused
  2. 2021/22 sügis
  3. Masinõpe (MTAT.03.227)
EN
Logi sisse

Masinõpe 2021/22 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: if you want to use your late days, please, tell us in the comments field.

HW1 - supervised learning (Deadline: 19.09.2021)

Submission for this homework is closed

HW2 - unsupervised learning (Deadline: 03.10.2021)

Submission for this homework is closed

HW3 - deep learning (Deadline: 17.10.2021)

Submission for this homework is closed

Paper summary (Deadline: 31.10.2021)

You need to read one of the proposed papers, summarise it in 2 pages, and submit it below (in PDF). More details can be found here.

Submission for this homework is closed

HW4 - regularisation (Deadline: 31.10.2021)

Submission for this homework is closed

HW5 - ensemble learning (Deadline: 14.11.2021)

Submission for this homework is closed

HW6 - performance metrics (Deadline: 05.12.2021)

Submission for this homework is closed

Final project presentations (Deadline: 17.12.2021)

Please, submit here a PDF of your final presentation. One submission per team is enough.

Submission for this homework is closed

  • Arvutiteaduse instituut
  • Loodus- ja täppisteaduste valdkond
  • Tartu Ülikool
Tehniliste probleemide või küsimuste korral kirjuta:

Kursuse sisu ja korralduslike küsimustega pöörduge kursuse korraldajate poole.
Õppematerjalide varalised autoriõigused kuuluvad Tartu Ülikoolile. Õppematerjalide kasutamine on lubatud autoriõiguse seaduses ettenähtud teose vaba kasutamise eesmärkidel ja tingimustel. Õppematerjalide kasutamisel on kasutaja kohustatud viitama õppematerjalide autorile.
Õppematerjalide kasutamine muudel eesmärkidel on lubatud ainult Tartu Ülikooli eelneval kirjalikul nõusolekul.
Tartu Ülikooli arvutiteaduse instituudi kursuste läbiviimist toetavad järgmised programmid:
euroopa sotsiaalfondi logo