Difference between revisions of "Week 1"

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==Homework==
 
==Homework==
 
# [https://forms.gle/FEJ28KEjxdj6Zgha7 Fill the questionnaire week m1] – Imagine and plan a project
 
# [https://forms.gle/FEJ28KEjxdj6Zgha7 Fill the questionnaire week m1] – Imagine and plan a project
 +
# Watch [https://www.youtube.com/watch?v=VNgm-oXENnc&t=627s video]
 +
# Watch the video [https://youtu.be/eXiXxmz3lnA Риски и результаты в машинном обучении] Risics and results in machine learning
 +
# ''Rigorously'' follow all the steps of section '''Set the toolbox'''
 +
# ''Check'' if you can briefly explain what is
 +
## statistical hypothesis
 +
## statistical inference,
 +
## conditional and joint distributions,
 +
## likelihood function,
 +
## algebraic structure
 +
 +
 
<!--# Look through the materials of [[Week 0]] and [[Week 1]] and the slides.-->
 
<!--# Look through the materials of [[Week 0]] and [[Week 1]] and the slides.-->
 
# Watch the video [https://www.youtube.com/watch?v=vRUYqnas5fo Моя первая научная статья 0] My first scientific paper, week 0
 
# Watch the video [https://www.youtube.com/watch?v=vRUYqnas5fo Моя первая научная статья 0] My first scientific paper, week 0
# Watch the video [https://youtu.be/eXiXxmz3lnA Риски и результаты в машинном обучении] Risics and results in machine learning
 
# ''Rigorously'' follow all the steps of section '''Set the toolbox'''
 
<!-- # ''Quis'' Can you briefly explain what is (check means yes)
1) statistical hypothesis
 
2) statistical inference,
 
3) conditional and joint distributions,
 
4) likelihood function,
 
5) algebraic structure -->
 

Revision as of 00:17, 16 February 2024

Set the toolbox

  1. Editors. Install LaTeX: MikTeX for Windows, TeX Live for Linux, and Mac OS. Sign up V2 OverLeaf ShareLaTeX.
  2. Install the editor TeXnic Center or its alternative WinEdt for Windows, TeXworks for Linux, and TeXmakerfor Mac OS.
  3. Editors. Install LaTeX: MikTeX for Windows, TeX Live for Linux, and Mac OS. Sign up V2 OverLeaf ShareLaTeX.
  4. Install the editor TeXnic Center or its alternative WinEdt for Windows, TeXworks for Linux, and TeXmakerfor Mac OS.
  5. Download the paper template, ZIP and compile it.
  6. References. Read BibTeX.
  7. Install bibliographic collection software JabRef (can be postponed).
  8. Communications. Sign up GitHub.
    • Run GitHub Copilot
    • Important: address and login like Name.Surname or Name-Surname (it depends on system conventions) is welcome.
    • Introductory sliders on Version Control System.
    • Introduction to GitHub.
    • The first steps in GitHub.
  9. Download a shell: Desktop.GitHub, or use a command line to synchronize your project.
  10. Sign up MachineLearning.ru. Send your login name to your coordinator (or to mlalgorithms [at] gmail [dot] com; to find the coordinator).
  11. Programming. Install Python Anaconda, PyCharm (alternative Visual Studio), Notebook online Google.Colab.
  12. Add. As alternative install and try Matlab (MIPT provides free version), (alternative Octave), R-project, Wolfram Mathematica.
  13. Add. Read with pleasure Кутателадзе С. С. Советы эпизодическому переводчику and Сосинский А. Б. Как написать математическую статью по-английски (Ru).


Resources

Obsoleted

References to catch up

  1. A Brief Introduction to Machine Learning for Engineers by Osvaldo Simeone, 2017-2018
  2. Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz, Shai Ben-David, 2014
  3. Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong
  4. Mathematics for Physicists: Introductory Concepts and Methods by Alexander Altland & Jan von Delf
  5. Python notes for professionals by GoalKicker.com Free Programming Books.
  6. Лагутин М.Б. Наглядная математическая статистика, М.: Бином, 2009. См. также вырезку (Ru)
  7. Bishop C.P. Pattern recognition and machine learning, Berlin: Springer, 2008
  8. MackKay D. Information Theory, Pattern Recognition and Neural Networks, Inference.org.uk, 2009

Homework

  1. Fill the questionnaire week m1 – Imagine and plan a project
  2. Watch video
  3. Watch the video Риски и результаты в машинном обучении Risics and results in machine learning
  4. Rigorously follow all the steps of section Set the toolbox
  5. Check if you can briefly explain what is
    1. statistical hypothesis
    2. statistical inference,
    3. conditional and joint distributions,
    4. likelihood function,
    5. algebraic structure


  1. Watch the video Моя первая научная статья 0 My first scientific paper, week 0