Difference between revisions of "Todo list"

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* [http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf Bishop C.P. Pattern recognition and machine learning, Berlin: Springer, 2008.]
 
* [http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf Bishop C.P. Pattern recognition and machine learning, Berlin: Springer, 2008.]
 
* [http://www.inference.org.uk/itprnn/book.pdf MackKay D. Information Theory, Pattern Recognition and Neural Networks, Inference.org.uk, 2009.]
 
* [http://www.inference.org.uk/itprnn/book.pdf MackKay D. Information Theory, Pattern Recognition and Neural Networks, Inference.org.uk, 2009.]
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'''Questionnaries'''
 
'''Questionnaries'''
 
* [https://goo.gl/forms/es2dEL9qBAtlYfbL2 Todo list 1: Prepare necessary tools]
 
* [https://goo.gl/forms/es2dEL9qBAtlYfbL2 Todo list 1: Prepare necessary tools]
 
* [https://goo.gl/forms/Z19P6Rufll0nL06a2 Select problems]
 
* [https://goo.gl/forms/Z19P6Rufll0nL06a2 Select problems]
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http://svn.code.sf.net/p/mvr/code/lectures/MLEducation/Strijov2014MLCourseShort_eng.pdf?format=raw
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== Todo -1: Subscribe to the course ==
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<strong>[[Todo list|Todo before]] 06:00 Wednesday, February 12 th:</strong>
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# pick up a problem from the page [http://bit.ly/1B4NKjZ Try-on programming problems] (get the oldest problems, they are simpler),
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# plot one figure to illustrate the problem (plot data or analysis),
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# write explanatory comments to the figure (what the reader sees on the figure, what conclusions follow up),
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# an example of the [http://www.machinelearning.ru/wiki/index.php?title=JMLDA/Fig figure formatting is here]
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# upload your notebook to your github repository,
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# send the link to this notebook to mlalgorithms [at] gmail [dot] com, with the subject "Application m1p"
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* Example of a nice simple problem: [http://www.machinelearning.ru/wiki/index.php?title=%D0%9B%D0%B8%D0%BD%D0%B5%D0%B9%D0%BD%D0%B0%D1%8F_%D1%80%D0%B5%D0%B3%D1%80%D0%B5%D1%81%D1%81%D0%B8%D1%8F_%28%D0%BF%D1%80%D0%B8%D0%BC%D0%B5%D1%80%29 bread regression].
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* Examples of plots: one many [https://github.com/Intelligent-Systems-Phystech/StartCode/blob/master/Hohlov2018Problem3/HW4.ipynb solutions] from this [https://github.com/Intelligent-Systems-Phystech/StartCode project].
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* Examples of old problems [https://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Example2014Code/Popova2014Problem7/fig1.fig Problem 7], [https://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Example2014Code/Plavin2014Problem1/html/ Problem 1], [https://sourceforge.net/p/mlalgorithms/code/HEAD/tree/Group174/Example2014Code/ShvetsProblem15/ Problem15].
  
 
== Todo A: Write an abstract ==
 
== Todo A: Write an abstract ==

Revision as of 17:23, 18 February 2020

The todo lists here corresponds to the Course schedule. Each list must be completed before the day of review. It is Wednesday 06:00 am for the 2020 Spring semester.

Todo 0: Prepare necessary tools

  1. Editing. Install LaTeX: MikTeX for Windown, TeX Live for Linux, and for 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. Download the paper template, ZIP and compile it.
  4. Read BibTeX.
  5. Install bibliographic collection software JabRef (can be postponed).
  6. Communications. Sign up GitHub.
    • Inportant: 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.
  7. Download a shell: Desktop.GitHub, or use a command line to synchronise your project.
  8. Sign up MachineLearning.ru. Send a logon to your coordinator of to mlalgorithms [at] gmail [dot] com.
  9. To state a problem (write essay) using notebook see example in MathJax.
  10. Install Hangouts, Skype - read instructions.
  11. Programming. Install Python Anakonda, PyCharm (alternative Visual Studio), Notebook online Google.Colab.
    • Development for ML: Pytorch
    • Style formatting: Codestyle pep8
  12. Add. As alternative install and try Matlab (MIPT provides free version), (alternative Octave), R-project, Wofram Mathematica.
  13. Add. Read with pleasure Кутателадзе С. С. Советы эпизодическому переводчику and Сосинский А. Б. Как написать математическую статью по-английски.

Resources

References to catch up

Todo -1: Subscribe to the course

Todo before 06:00 Wednesday, February 12 th:

  1. pick up a problem from the page Try-on programming problems (get the oldest problems, they are simpler),
  2. plot one figure to illustrate the problem (plot data or analysis),
  3. write explanatory comments to the figure (what the reader sees on the figure, what conclusions follow up),
  4. an example of the figure formatting is here
  5. upload your notebook to your github repository,
  6. send the link to this notebook to mlalgorithms [at] gmail [dot] com, with the subject "Application m1p"

Todo A: Write an abstract

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