Difference between revisions of "Main Page"

Latest revision as of 03:37, 7 February 2024

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

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

2023 problems GitHub
2022 results GitHub
Telegram: discussion Ask here!
The meeting room: m1p.org/go_zoom
More courses from the Intelligent Systems

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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-<!-- <H1>My first scientific paper</H1>
+{{#seo:
-in the field of machine learning and data analysis-->
+ |title=Research management course
-==Announcements==
+ |titlemode=append
+ |keywords=Research management course
+ |description=This research management course immerses students in research activities that produce scientific papers.
+ }}
+[[File:Miai_logo1.jpeg|class=img-responsive|left|alt Maths&AI MIPT-UGA student workshop]] &nbsp;
+{{Box|Title=News and announcements|Content={{News}}<!--''[[News|more]]''-->}}
-Thursday 14:30
+===Course progress===
-# [https://youtu.be/rYQLwNN9DUE Video stream YouTube]
+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]].
-# [http://bit.ly/m1p_stream Hangouts discussion]
-# Telegram to ask questions
-# 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.
+*[[Course schedule]]
-# Before Wednesday 6:0am put in the table [http://bit.ly/m1p_2020 Results] links  to
+*[[Week 0|Week 0: Come in]]
-# LinkReview located on [https://drive.google.com/drive/my-drive Google Drive]
+** [https://forms.gle/hFiu8j3fHF9hdZkN8 Questionnaire 0]
-#  The paper  AIL located in the doc folder on [https://github.com/Intelligent-Systems-Phystech github.com/Intelligent-Systems-Phystech]
+** [https://docs.google.com/document/d/1cESrKzU_kTL1PeRNhkQ1glzjbGh3VLw7Cbt34O19NGQ/edit?usp=sharing Scenario]
+*[[Week 1|Week 1: Set the toolbox]]
+*[[Week 2|Week 2: Select your project and tell about it]]
+*[[Week 3|Week 3: State your problem]]
+*[[Week 4|Week 4: Plan the experiment]]
+*[[Week 5|Week 5: Visualise the principle]]
+*[[Week 6|Week 6: Write the theory]]
+*[[Week 7|Week 7: Analyse the error]]
+*[[Week 8|Week 8: Construct your paper]]
+*[[Week 9|Week 9: Review a paper]]
+*[[Week 10|Week 10: Select a journal to submit]]
+*[[Week 11|Week 11: Prepare your presentation]]
+*[http://www.youtube.com/watch?v=xW_lXGn1WHs Week 12: Show your results (Youtube)]
+===Links===
+*2023 problems [https://github.com/intsystems/m1p/blob/main-2023/problem_list.md  GitHub]
+*2022 results [https://github.com/Intelligent-Systems-Phystech/m1p_2022 GitHub]
+*Telegram: [https://t.me/m1p_org discussion] <b> Ask here! </b>
+*The meeting room: [https://m1p.org/go_zoom m1p.org/go_zoom]
+*More courses from the [http://m1p.org/is Intelligent Systems]
+<!--
+*Check-1 and check-2 sing-in: [https://docs.google.com/spreadsheets/d/1g9ud_qyHJIkzHYWFRac_WmeVZ7Qv11N_OIXAzK5iOs0/edit#gid=298225191 table]
+*Stepik: [https://stepik.org/course/90240/syllabus peer-review and quiz]
+*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]
+-->
-=Contents=
+<!--
-*[[Course schedule]]
+==Contents==
-*[[Todo list]]
+[[Fundamental theorem]]|[[Todo list]]|[[Books]]|[[Reviews]]|[[Tools]]|[[Projects]]|[[Proposals]]|[[Templates]]|[[Career]]|[[Notation]]|[[Publication]]
-*[https://t.me/m1p_qs Questions to Machine learning]
+-->
-<!--*[https://t.me/m1p_news Announcements and news (does not work yet) ]-->
-*[http://bit.ly/m1p_file2discuss Upload a file to discussion]
-==Basic materials==
+===History===
-* [http://www.machinelearning.ru/wiki/index.php?title=M1 Main page with old homeworks]
+* [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/M1_2019_674 Group 674, spring 2019]
 * [http://bit.ly/M1_2019_694 Group 694, spring 2019]
+==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. [[Mathematical forecasting|See course page]]
-All questions to <strong>mlalgorithms [at] gmail [dot] com,</strong>
+<!--*[http://bit.ly/m1p_file2discuss Upload a file to discussion]
+*All questions to <strong>mlalgorithms [at] gmail [dot] com,</strong>
-See you on the course,
-[http://strijov.com/papers_ru.html V. V. Strijov]
-<!--
 <strong>MediaWiki has been installed.</strong>
 Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.
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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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