NEW (at 21.10, 6th April) ! Since the examinations had to be cancelled, one substitutes the examination by writing an essay from one of the given topics. The instructions are given here:
The essay has to be sent no later than on the 20th May to Martti Juhola.
Machine learning algorithms are presented. Their use to build computational models are described.
- Advanced study course, 5 ECTS
- 12 lectures (24 h), Martti Juhola
- 5 weekly exercise times (10 h), Jyrki Rasku
- Additional scores: when one makes more of all weekly exercises than 30%, additional scores [0,5] are given as follows: ≥30% 0, ≥41% 1, ≥52% 2, ≥63% 3, ≥74% 4, ≥85% 5
- To pass the course: (1) at least 30% of weekly exercises have to be made and (2) the examination with scores of 12 or more from [0,30]
Matlab is used for exercises.
To load Matlab you first need an activation code and obtaining this may take time. (You also need a TAU account.) To be done via the following link, but if no more valid, search for from IT services of TAU:
The first Tuesday lecture on the 3rd March will be in Pinni B1097.
On Tuesdays at 10-12
from the 10th March to the 7th April 2020, venue Pinni B4113
On Wednesdays at 10-12
from the 4th March to the 8th April 2020, venue Main Building C6
Join Zoom meeting, the 8th April:
Meeting ID: 661 241 456
On Thursdays at 8-10
from the 12th March to the 16th April excluding the 9th April 2020, venue Main Building C6
Please send you exercise solutions by email to Jyrki.Rasku@tuni.fi provided that you do this before each “exercise” Thursday: 19th, 26th March, 2nd or
16th 9th April. NOTE THE CHANGE!
While sending your exercise solutions email, please write in the title of the email which exercise time they concern, e.g., “Machine learning algorithms: exercise solutions for the 26th March”.
Especial 2; information at 21.40, the 12th March
According to the new instructions, all later exercises will be handled by sending the solutions by email to Jyrki.Rasku@tuni.fi by each Wednesday evening.
At the moment, conventional lectures are not allowed to be arranged. The lecture material is delivered in this webpage as usual.
REMEMBER TO ENROLL YOURSELF ON THE EXAMINATION AT LAST 8 DAYS BEFORE THE DATE! On the 29th April,12th May or 27th May 2020
Please do not give recordings to anyone outside TUNI!
17th March: https://panopto.tuni.fi/Panopto/Pages/Viewer.aspx?id=41d000c4-da16-493c-9ae7-ab8300a144a9
18th March: https://panopto.tuni.fi/Panopto/Pages/Viewer.aspx?id=3029501a-20fc-4a37-be44-ab8300a31030
24th March: https://panopto.tuni.fi/Panopto/Pages/Viewer.aspx?id=689bd7f0-90e2-4983-a697-ab8800c9ace8
25th March: https://panopto.tuni.fi/Panopto/Pages/Viewer.aspx?id=2ca4d684-34b7-4da7-b5b1-ab8900ae0da7
31st March: https://panopto.tuni.fi/Panopto/Pages/Viewer.aspx?id=7e489b10-07b5-49b0-b68e-ab8f0096c626
1st April: https://panopto.tuni.fi/Panopto/Pages/Viewer.aspx?id=0e4117ef-0495-42a6-89b8-ab900094e1a2
7th April: https://panopto.tuni.fi/Panopto/Pages/Viewer.aspx?id=acf756ee-1ed0-422f-94b8-ab96009691d9
8th April: https://panopto.tuni.fi/Panopto/Pages/Viewer.aspx?id=02bf3808-9d7a-467a-b196-ab9700a2554d
NOTE that along with the current special arrangements of teaching the last exercise time was changed from the 16th to 9th April. However, since the change was made late, you can send your solutions up to the 16th April.
Data sets: Data