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:
- 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: if you want to use your late days, please, tell us in the comments field.
HW1 - supervised learning (Deadline: 19.09.2021)
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HW2 - unsupervised learning (Deadline: 03.10.2021)
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HW3 - deep learning (Deadline: 17.10.2021)
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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.
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HW4 - regularisation (Deadline: 31.10.2021)
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HW5 - ensemble learning (Deadline: 14.11.2021)
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HW6 - performance metrics (Deadline: 05.12.2021)
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Final project presentations (Deadline: 17.12.2021)
Please, submit here a PDF of your final presentation. One submission per team is enough.
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