Difference between revisions of "Week 5"
From Research management course
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# Make a plot of the source data. | # Make a plot of the source data. | ||
#* '''Goal:''' put notations to the plot. | #* '''Goal:''' put notations to the plot. | ||
− | # List plots to illustrate | + | # List plots to illustrate [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/MachineLearningResearch/ComputationalExperiment/fig_compilation_slides.pdf?format=raw with]. |
# Make a plot to show the main message. | # Make a plot to show the main message. | ||
Revision as of 02:34, 11 March 2021
Goal of the week: Visualise the principle.
Contents
C: Code of the computational experiment
Organize your code so that the computational experiment runs every time with results stored.
- Set the only main file to run the experiment.
- Decompose the project code, write functions and modules.
- Gather the experiment parameters in a special-purpose section.
- A text description of the experiment flow helps.
- Set a procedure of historical version points to return to the previous experiment.
- Commit schedule helps.
- Write named plots to a designated folder.
- Write your results to a .tex-file and compile.
- If your experiment run takes 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.
- Make a plot of the source data.
- Goal: put notations to the plot.
- List plots to illustrate with.
- Make a plot to show the main message.
O*: One-slide talk
Make one-slide presentation to introduce the main principle of your work.
- Use the slide template [link here].
- Set the third slide with
- a plot or a diagramm,
- main keywords or message,
- basic notations, and
- essential terms.
- Prepare a talk up to one minute (1'20") long.
- See examples in the lecture slides.
Resources
- [Slides for week 5].
- [Video for week 5].