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== Teachers & assistants ==
{| class="wikitable" style="text-align:center"
|-
! Group !! 191 !! 192 !! 193
|-
|| Lecturer
| colspan="3" | [https://www.hse.ru/en/staff/atsvigun Tsvigun A.O.]
[mailto:atsvigun@hse.ru atsvigun@hse.ru] , tg: [https://tlgg.ru/aktsvigun @aktsvigun]
|-
|| Workshop Instructor
|| Tsvigun A. [mailto:atsvigun@hse.ru atsvigun@hse.ru] tg: [https://tlgg.ru/aktsvigun @aktsvigun] 
|| Sanochkin L. [mailto:lsanochkin@hse.ru lsanochkin@hse.ru ] tg: [https://tlgg.ru/lsanochkin @lsanochkin] 
|| Vazhentsev A. [mailto:aavazhentsev@hse.ru aavazhentsev@hse.ru] tg: [https://t.me/artemvazh @artemvazh] 

|-
| rowspan="3" | Assistant
|| Garshin S. tg: [https://t.me/SeregaEFD @SeregaEFD]
|| Matyash D. tg: [https://t.me/bwdare @bwdare]
|| Buzilov G. tg: [https://t.me/GBuzilov @GBuzilov]
|-
|}

== Grading system ==

The ultimate grade G for the whole course is calculated as: '''G = 0.25 · module_1 + 0.25 · module_2 + 0.5 · module_3 ''' 
where '''module_1''' is calculated as 0.4 · КР + 0.3 · ПР + 0.3 · ДЗ, '''module_2''' is calculated as 0.4 · ПР + 0.6 · ДЗ and '''module_3''' is calculated as 0.2 · ПР + 0.3 · ДЗ + 0.5 · ЭКЗ. 
Grade '''G''' is rounded (up or down) to an integer number of points before entering them into records. Grades for '''each module''' are also rounded.

== Results ==

The results table can be found by [https://docs.google.com/spreadsheets/d/1AQAtJjFn10KqKAIib5NHTT9g3nNUdINOlvHgHH8WPW8/edit#gid=0 this link].

== Smart LMS Course link ==

The link for the course may be observed here: [https://smartedu.hse.ru/course/0/133346 source].

== GitHub source ==

[https://github.com/Aktsvigun/ml-2 link].

Machine learning 2 DSBA 2022/2023 - История изменений

imported>GBuzilov: Migrated current public revision from wiki.cs.hse.ru