Интеллектуальный анализ данных (О.Ю. Бахтеев, В.В. Стрижов)/Осень 2022

Материал из MachineLearning.

(Различия между версиями)
Перейти к: навигация, поиск
(Schedule and grading)
(Schedule and grading)
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# Write your text (2 pages and discuss)
# Write your text (2 pages and discuss)
# Publish your text (link)
# Publish your text (link)
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==Course page, and projects==
==Course page, and projects==

Версия 08:29, 8 сентября 2022

Each Saturday 13:10 at the channel m1p.org/go_zoom


Intelligent data analysis

This course delivers methods of model selection in machine learning and forecasting. The modelling data are videos, audios, encephalograms, fMRIs and another 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 organised as paper-with-code reports.

Schedule and grading

  • Sep: 16, 23, 30 select
  • Oct: 7, 14, 21, 28 talk
  • Nov: 4, 11 talk, 18, 25 text
  • Dec: 2 link, 9 fin
  1. Select topic (report)
  2. Prepare material (present 5-10 min and discuss)
  3. Make presentation (20 min and questions)
  4. Write your text (2 pages and discuss)
  5. Publish your text (link)

Insert your name and direct link to materials

Date Select Talk Text
23 sep
30
oct 7 x
14
21
28
nov 4
11
18 x
25 x

Course page, and projects

  • TODO Course page
  • TODO Projects

The result links

Topics to discuss

Examples and references

Личные инструменты