Difference between revisions of "Week 5"

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* [http://www.machinelearning.ru/wiki/images/a/aa/M1p_lect5.pdf Slides for week 5], variant [http://www.machinelearning.ru/wiki/images/3/38/M1p_lect5_max.pdf plus], [http://www.machinelearning.ru/wiki/images/e/ed/M1p2022lect5_part1.pdf 2022-1], [http://www.machinelearning.ru/wiki/images/1/10/M1p2022lect5_part2.pdf 2022-2], [http://www.machinelearning.ru/wiki/images/5/55/M1p2022lect5_part3.pdf 2022-3].
 
* [http://www.machinelearning.ru/wiki/images/a/aa/M1p_lect5.pdf Slides for week 5], variant [http://www.machinelearning.ru/wiki/images/3/38/M1p_lect5_max.pdf plus], [http://www.machinelearning.ru/wiki/images/e/ed/M1p2022lect5_part1.pdf 2022-1], [http://www.machinelearning.ru/wiki/images/1/10/M1p2022lect5_part2.pdf 2022-2], [http://www.machinelearning.ru/wiki/images/5/55/M1p2022lect5_part3.pdf 2022-3].
 
* [https://www.youtube.com/watch?v=6xR0EKMuXmE Video for week 5].
 
* [https://www.youtube.com/watch?v=6xR0EKMuXmE Video for week 5].
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==References: TikZ and  Beamer 2025==
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#[https://pgf-tikz.github.io/pgf/pgfmanual.pdf The TikZ and PGF Packages]: Manual for version 3.1.10, [https://github.com/pgf-tikz/pgf GitHub], by Till Tantau, 2024
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# [https://home.uncg.edu/cmp/reu/presentations/Charles%20Batts%20-%20Beamer%20Tutorial.pdf A Beamer Tutorial in Beamer] by Charles T. Batts, 2007
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# [https://www.math.u-bordeaux.fr/imb/cellule/IMG/pdf/beameruserguide-2.pdf User’s Guide to the Beamer Class], and [https://github.com/josephwright/beamer GitHub] by Till Tantau, 2004
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# [https://gobics.de/katharina/beamer-script.pdf LATEX-beamer Course] by Katharina Hoff, 2007

Latest revision as of 00:45, 23 February 2025

The goal of the week is to visualize the principle.

C: Code of the computational experiment

Organize your code so that the computational experiment runs every time with results stored.

  1. Set the only main file to run the experiment.
  2. Decompose the project code, and write functions and modules.
  3. Gather the experiment parameters in a special-purpose section.
    • A text description of the experiment flow helps.
  4. Set a procedure of historical version points to return to the previous experiment.
    • Commit schedule helps.
  5. Write named plots to a designated folder.
    • Write your results to a .tex-file and compile.
  • If your experiment run takes a long time, just cut the data set.
    • Do not use big or sophisticated data. Put your efforts to illustrate your main message.

V: Visualize project

Set the list of plots that will be included in your paper and presentation.

  1. Make a plot of the source data.
    • Goal: put notations to the plot.
  2. List plots to illustrate with.
  3. Make a plot to show the main message.

O*: One-slide talk

Make a one-slide presentation to introduce the main principle of your work.

  1. Use the slide template
  2. Set the third slide with
    1. a plot or a diagram,
    2. main keywords or message,
    3. basic notations, and
    4. essential terms.
  3. Put the link to the slide in the Result table
  4. Prepare a talk up to one minute (1'20" max) long.
  5. See examples in the lecture slides.

Resources


References: TikZ and Beamer 2025

  1. The TikZ and PGF Packages: Manual for version 3.1.10, GitHub, by Till Tantau, 2024
  2. A Beamer Tutorial in Beamer by Charles T. Batts, 2007
  3. User’s Guide to the Beamer Class, and GitHub by Till Tantau, 2004
  4. LATEX-beamer Course by Katharina Hoff, 2007