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<!-- <H1>My first scientific paper</H1>
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{{#seo:
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in the field of machine learning and data analysis-->
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|title=Research management course
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==Announcements==
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|titlemode=append
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# This week home work is [[Todo_list#Todo_P:_Problem_statement|P, '''the Problem statement''']], [http://www.machinelearning.ru/wiki/index.php?title=%D0%A7%D0%B8%D1%81%D0%BB%D0%B5%D0%BD%D0%BD%D1%8B%D0%B5_%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D1%8B_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8F_%D0%BF%D0%BE_%D0%BF%D1%80%D0%B5%D1%86%D0%B5%D0%B4%D0%B5%D0%BD%D1%82%D0%B0%D0%BC_%28%D0%BF%D1%80%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0%2C_%D0%92.%D0%92._%D0%A1%D1%82%D1%80%D0%B8%D0%B6%D0%BE%D0%B2%29#.D0.94.D0.BE.D0.BC.D0.B0.D1.88.D0.BD.D0.B5.D0.B5_.D0.B7.D0.B0.D0.B4.D0.B0.D0.BD.D0.B8.D0.B5_P_:_.D0.BF.D0.BE.D1.81.D1.82.D0.B0.D0.BD.D0.BE.D0.B2.D0.BA.D0.B0_.D0.B7.D0.B0.D0.B4.D0.B0.D1.87.D0.B8 (Rus)]
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|keywords=Research management course
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# Check your [http://mlalgorithms.fun/ course progress]!
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|description=This research management course immerses students in research activities that produce scientific papers.
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}}
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[[File:Miai_logo1.jpeg|class=img-responsive|left|alt Maths&AI MIPT-UGA student workshop]] &nbsp;
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{{Box|Title=News and announcements|Content={{News}}<!--''[[News|more]]''-->}}
  
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===Course progress===
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This course produces student research papers. It gathers research teams. Each team joins a student, a consultant, and an expert. The student is a project driver who wants to plunge into scientific research activities. The graduate student consultant conducts the research and helps the student. The expert, a professor, states the problem and enlightens the road to the goal. The projects start in February and end in May, according to the [[Course schedule|schedule]].
  
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===March 5th, Thursday 14:30===
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*[[Course schedule]]
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# [Video stream YouTube]
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*[[Week 0|Week 0: Come in]]
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# [Hangouts discussion]
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** [https://forms.gle/hFiu8j3fHF9hdZkN8 Questionnaire 0]
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# Homework for the next week:
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** [https://docs.google.com/document/d/1cESrKzU_kTL1PeRNhkQ1glzjbGh3VLw7Cbt34O19NGQ/edit?usp=sharing Scenario]
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## [[Todo_list#Todo_Update:_Put_project_straight|Updates]] ([http://www.machinelearning.ru/wiki/index.php?title=%D0%A7%D0%B8%D1%81%D0%BB%D0%B5%D0%BD%D0%BD%D1%8B%D0%B5_%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D1%8B_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8F_%D0%BF%D0%BE_%D0%BF%D1%80%D0%B5%D1%86%D0%B5%D0%B4%D0%B5%D0%BD%D1%82%D0%B0%D0%BC_%28%D0%BF%D1%80%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0%2C_%D0%92.%D0%92._%D0%A1%D1%82%D1%80%D0%B8%D0%B6%D0%BE%D0%B2%29#Todo_Update:_Put_project_straight Rus])
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*[[Week 1|Week 1: Set the toolbox]]
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## [[Todo_list#Todo_X:_Experiment_planning|Experiment planning]] ([http://www.machinelearning.ru/wiki/index.php?title=%D0%A7%D0%B8%D1%81%D0%BB%D0%B5%D0%BD%D0%BD%D1%8B%D0%B5_%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D1%8B_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8F_%D0%BF%D0%BE_%D0%BF%D1%80%D0%B5%D1%86%D0%B5%D0%B4%D0%B5%D0%BD%D1%82%D0%B0%D0%BC_%28%D0%BF%D1%80%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0%2C_%D0%92.%D0%92._%D0%A1%D1%82%D1%80%D0%B8%D0%B6%D0%BE%D0%B2%29#.D0.94.D0.BE.D0.BC.D0.B0.D1.88.D0.BD.D0.B5.D0.B5_.D0.B7.D0.B0.D0.B4.D0.B0.D0.BD.D0.B8.D0.B5_X:_.D0.BF.D0.BB.D0.B0.D0.BD.D0.B8.D1.80.D0.BE.D0.B2.D0.B0.D0.BD.D0.B8.D0.B5_.D1.8D.D0.BA.D1.81.D0.BF.D0.B5.D1.80.D0.B8.D0.BC.D0.B5.D0.BD.D1.82.D0.B0 Rus])
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*[[Week 2|Week 2: Select your project and tell about it]]
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## [[Todo_list#Todo_B:_Run_basic_code|Basic code]] ([http://www.machinelearning.ru/wiki/index.php?title=%D0%A7%D0%B8%D1%81%D0%BB%D0%B5%D0%BD%D0%BD%D1%8B%D0%B5_%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D1%8B_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8F_%D0%BF%D0%BE_%D0%BF%D1%80%D0%B5%D1%86%D0%B5%D0%B4%D0%B5%D0%BD%D1%82%D0%B0%D0%BC_%28%D0%BF%D1%80%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0%2C_%D0%92.%D0%92._%D0%A1%D1%82%D1%80%D0%B8%D0%B6%D0%BE%D0%B2%29#.D0.94.D0.BE.D0.BC.D0.B0.D1.88.D0.BD.D0.B5.D0.B5_.D0.B7.D0.B0.D0.B4.D0.B0.D0.BD.D0.B8.D0.B5_B:_.D0.BE.D0.BF.D0.B8.D1.81.D0.B0.D0.BD.D0.B8.D0.B5_.D0.B1.D0.B0.D0.B7.D0.BE.D0.B2.D0.BE.D0.B3.D0.BE_.D0.B0.D0.BB.D0.B3.D0.BE.D1.80.D0.B8.D1.82.D0.BC.D0.B0 Rus])
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*[[Week 3|Week 3: State your problem]]
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## [[## [[Todo_list#Todo_R:_Preliminary_report|Preliminary report]]|Report]] ([http://www.machinelearning.ru/wiki/index.php?title=%D0%A7%D0%B8%D1%81%D0%BB%D0%B5%D0%BD%D0%BD%D1%8B%D0%B5_%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D1%8B_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8F_%D0%BF%D0%BE_%D0%BF%D1%80%D0%B5%D1%86%D0%B5%D0%B4%D0%B5%D0%BD%D1%82%D0%B0%D0%BC_%28%D0%BF%D1%80%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0%2C_%D0%92.%D0%92._%D0%A1%D1%82%D1%80%D0%B8%D0%B6%D0%BE%D0%B2%29#.D0.94.D0.BE.D0.BC.D0.B0.D1.88.D0.BD.D0.B5.D0.B5_.D0.B7.D0.B0.D0.B4.D0.B0.D0.BD.D0.B8.D0.B5_R:_.D0.BE.D1.82.D1.87.D0.B5.D1.82_.D0.BE_.D0.B7.D0.B0.D0.BF.D1.83.D1.81.D0.BA.D0.B5_.D0.B1.D0.B0.D0.B7.D0.BE.D0.B2.D0.BE.D0.B3.D0.BE_.D0.B0.D0.BB.D0.B3.D0.BE.D1.80.D0.B8.D1.82.D0.BC.D0.B0 Rus])
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*[[Week 4|Week 4: Plan the experiment]]
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# [https://docs.google.com/spreadsheets/d/1g9ud_qyHJIkzHYWFRac_WmeVZ7Qv11N_OIXAzK5iOs0/edit?usp=sharing Subscribe to check-1]
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*[[Week 5|Week 5: Visualise the principle]]
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*[[Week 6|Week 6: Write the theory]]
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*[[Week 7|Week 7: Analyse the error]]
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*[[Week 8|Week 8: Construct your paper]]
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*[[Week 9|Week 9: Review a paper]]
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*[[Week 10|Week 10: Select a journal to submit]]
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*[[Week 11|Week 11: Prepare your presentation]]
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*[http://www.youtube.com/watch?v=xW_lXGn1WHs Week 12: Show your results (Youtube)]
  
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===Links===
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*2023 problems [https://github.com/intsystems/m1p/blob/main-2023/problem_list.md  GitHub]
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*2022 results [https://github.com/Intelligent-Systems-Phystech/m1p_2022 GitHub]
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*Telegram: [https://t.me/m1p_org discussion] <b> Ask here! </b>
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*The meeting room: [https://m1p.org/go_zoom m1p.org/go_zoom]
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*More courses from the [http://m1p.org/is Intelligent Systems]
 
<!--
 
<!--
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Before
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*Check-1 and check-2 sing-in: [https://docs.google.com/spreadsheets/d/1g9ud_qyHJIkzHYWFRac_WmeVZ7Qv11N_OIXAzK5iOs0/edit#gid=298225191 table]
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# Put the link to your project [https://mlalgorithms.fun/task.php?course_id=122&task_id=2# here] so that the review round could start, you will get a message.
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# Before Wednesday 6:0am put in the table [http://bit.ly/m1p_2020 Results] links  to
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*Stepik: [https://stepik.org/course/90240/syllabus peer-review and quiz]
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# LinkReview located on [https://drive.google.com/drive/my-drive Google Drive]
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*Machinelearning: [http://www.machinelearning.ru/wiki/index.php?title=%D0%9C%D0%BE%D1%8F_%D0%BF%D0%B5%D1%80%D0%B2%D0%B0%D1%8F_%D0%BD%D0%B0%D1%83%D1%87%D0%BD%D0%B0%D1%8F_%D1%81%D1%82%D0%B0%D1%82%D1%8C%D1%8F_%28%D0%BB%D0%B5%D0%BA%D1%86%D0%B8%D0%B8_%D0%B8_%D0%BF%D1%80%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0%2C_%D0%92.%D0%92._%D0%A1%D1%82%D1%80%D0%B8%D0%B6%D0%BE%D0%B2%29/%D0%93%D1%80%D1%83%D0%BF%D0%BF%D1%8B_874%2C_821%2C_813%2C_%D0%B2%D0%B5%D1%81%D0%BD%D0%B0_2021 group table]
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#  The paper  AIL located in the doc folder on [https://github.com/Intelligent-Systems-Phystech github.com/Intelligent-Systems-Phystech]
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-->
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<!--  
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==Contents==
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[[Fundamental theorem]]|[[Todo list]]|[[Books]]|[[Reviews]]|[[Tools]]|[[Projects]]|[[Proposals]]|[[Templates]]|[[Career]]|[[Notation]]|[[Publication]]  
 
-->
 
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==Contents==
 
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*[[Course schedule]]
 
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*[[Todo list]]
 
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*[http://mlalgorithms.fun/ Course pregress]
 
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*[https://t.me/m1p_qs Telegram: Questions to Machine learning]
 
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<!--*[https://t.me/m1p_news Announcements and news (does not work yet) ]-->
 
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*[http://bit.ly/m1p_file2discuss Upload a file to discussion]
 
  
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==Basic materials==
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===History===
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* [http://www.machinelearning.ru/wiki/index.php?title=M1 Main page with old homeworks]
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* [http://www.machinelearning.ru/wiki/index.php?title=M1 Main page with old homework]
 
* [http://bit.ly/m1p_2020  Group 674, 694, spring 2020]
 
* [http://bit.ly/m1p_2020  Group 674, 694, spring 2020]
 
* [http://bit.ly/M1_2019_674 Group 674, spring 2019]
 
* [http://bit.ly/M1_2019_674 Group 674, spring 2019]
 
* [http://bit.ly/M1_2019_694 Group 694, spring 2019]
 
* [http://bit.ly/M1_2019_694 Group 694, spring 2019]
  
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==Mathematical methods of forecasting, 2024==
  
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This course delivers methods of model selection in machine learning and forecasting. The modeling data are videos, audios, encephalograms, fMRIs, and other measurements in natural science. The models are linear, tensor, deep neural networks, and neural ODEs. The practical ''examples'' are brain-computer interfaces, weather forecasting, and various spatial-time series forecasting. The ''lab works'' are organized as paper-with-code reports. [[Mathematical forecasting|See course page]]
  
  
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All questions to <strong>mlalgorithms [at] gmail [dot] com,</strong>
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<!--*[http://bit.ly/m1p_file2discuss Upload a file to discussion]
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*All questions to <strong>mlalgorithms [at] gmail [dot] com,</strong>
  
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See you on the course,
 
  
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[http://strijov.com/papers_ru.html V. V. Strijov]
 
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* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
 
* [https://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]
 
* [https://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]
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* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]
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Latest revision as of 03:37, 7 February 2024

alt Maths&AI MIPT-UGA student workshop

 

News and announcements

Fall 2024 on September 14 — The Art of Scientific Research

Fall 2024 on September 13 — Functional Data Analysis

Before January 2025 — My fist scientific paper: Suggest your project here

Spring 2025 on February 6th — My fist scientific paper starts

See results of 2024 —  on GitHub

Course progress

This course produces student research papers. It gathers research teams. Each team joins a student, a consultant, and an expert. The student is a project driver who wants to plunge into scientific research activities. The graduate student consultant conducts the research and helps the student. The expert, a professor, states the problem and enlightens the road to the goal. The projects start in February and end in May, according to the schedule.

Links


History

Mathematical methods of forecasting, 2024

This course delivers methods of model selection in machine learning and forecasting. The modeling data are videos, audios, encephalograms, fMRIs, and other measurements in natural science. The models are linear, tensor, deep neural networks, and neural ODEs. The practical examples are brain-computer interfaces, weather forecasting, and various spatial-time series forecasting. The lab works are organized as paper-with-code reports. See course page


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