Difference between revisions of "Main Page"

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{{Box|Title=News and announcements|Content={{News}}<!--''[[News|more]]''-->}}
 
{{Box|Title=News and announcements|Content={{News}}<!--''[[News|more]]''-->}}
  
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==This week at home==
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* Wait for it! 
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==My first scientific paper, Fall 2022==
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This course delivers methods of multi-model selection in Machine learning. The modelling data is heterogenous: the source and the target are different video, audio, encephalogram, fMRI and other measurements in natural science. The models forecast one tensor field with another one. The field is space-time. It carries the measurements in the form of tensors. The practical ''examples'' are Brain-computer interfaces, weather and various spatial-time series forecasting. The ''lab works'' are organised as paper-with-code reports.
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==My first scientific paper, Spring 2023==
 
This course produces student research papers. It gathers research teams in a society. Each team combines a student, a consultant and an expert. The student is a project driver, who wants to plunge into scientific research activities. The consultant, a graduated student, 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 of 2022 according to the [[Course schedule|schedule]].
 
This course produces student research papers. It gathers research teams in a society. Each team combines a student, a consultant and an expert. The student is a project driver, who wants to plunge into scientific research activities. The consultant, a graduated student, 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 of 2022 according to the [[Course schedule|schedule]].
  
==This week at home==
 
*[[Week 11|Week 12: Prepare your presentation]]: '''presentation day'''
 
 
==The roadmap==
 
 
*[[Course schedule]]
 
*[[Course schedule]]
<!-- *[[Week 0|Week 0: Come in]] -->
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*[[Week 0|Week 0: Come in]]
 
*[[Week 1|Week 1: Set the toolbox]]
 
*[[Week 1|Week 1: Set the toolbox]]
 
*[[Week 2|Week 2: Select your project and tell about it]]
 
*[[Week 2|Week 2: Select your project and tell about it]]
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*[[Week 11|Week 11: Prepare your presentation]]
 
*[[Week 11|Week 11: Prepare your presentation]]
 
*[http://www.youtube.com/watch?v=xW_lXGn1WHs Week 12: Show your results (Youtube)]
 
*[http://www.youtube.com/watch?v=xW_lXGn1WHs Week 12: Show your results (Youtube)]
<!--*[[Week 11|Week 11: Prepare your presentation]]
 
*[[Week 10|Week 10: Select a journal to submit]]
 
*[[Week 9|Week 9: Review a paper]]
 
*[[Week 8|Week 8: Construct your paper]]
 
*[[Week 7|Week 7: Analyse the error]]
 
*[[Week 6|Week 6: Write the theory]]
 
*[[Week 5|Week 5: Visualise the principle]]
 
*[[Week 4|Week 4: Plan the experiment]]
 
*[[Week 3|Week 3: State your problem]]
 
*[[Week 2|Week 2: Select your project and tell about it]]
 
*[[Week 1|Week 1: Set the toolbox]]
 
*[[Week 0|Week 0: Come in]]
 
*[[Course schedule]]-->
 
  
 
==Links==
 
==Links==

Revision as of 11:01, 29 August 2022

alt Maths&AI MIPT-UGA student workshop

 

News and announcements

Spring 2024 in January — My fist scientific paper: Suggest your project here!

Spring 2024 in February 8th, 16:10 — My fist scientific paper starts

Fall 2023 Wednesday — Mathematical metods of forecasting

Each Thursday at 17:40 — the class My fist scientific paper m1p.org/go_zoom

This week at home

  • Wait for it!

My first scientific paper, Fall 2022

This course delivers methods of multi-model selection in Machine learning. The modelling data is heterogenous: the source and the target are different video, audio, encephalogram, fMRI and other measurements in natural science. The models forecast one tensor field with another one. The field is space-time. It carries the measurements in the form of tensors. The practical examples are Brain-computer interfaces, weather and various spatial-time series forecasting. The lab works are organised as paper-with-code reports.

My first scientific paper, Spring 2023

This course produces student research papers. It gathers research teams in a society. Each team combines a student, a consultant and an expert. The student is a project driver, who wants to plunge into scientific research activities. The consultant, a graduated student, 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 of 2022 according to the schedule.

Links


History (Ru)