Difference between revisions of "Step 10"
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| − | We are approaching our goal | + | We are approaching our goal of responsible project planning. The final item is planning and discussing the computational experiment. The error analysis is crucial in building a solid background for our machine-learning model. Visualizing the results of this analysis delivers information to our readers in a comprehensible and persuasive way. |
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| + | Motivation for the computational experiment planning: | ||
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| + | „Глядя на лошадиные морды и лица людей, на безбрежный живой поток, поднятый моей волей и мчащийся в никуда по багровой закатной степи, я часто думаю: где я в этом потоке?“ — Чингисхан (В. Пелевин «Чапаев и Пустота») | ||
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| + | – think of your part and of the part you borrow. | ||
== The seminar == | == The seminar == | ||
# [https://forms.gle/gSjeoEYLg82eohdW6 The warm-up 5-minute test] | # [https://forms.gle/gSjeoEYLg82eohdW6 The warm-up 5-minute test] | ||
| − | # Computational experiment and visualizing | + | # Computational experiment and visualizing [[Week 7|see the plan of error analysis]] |
# Homework discussion | # Homework discussion | ||
# Project description discussion | # Project description discussion | ||
| − | # Final talk announcement | + | # Final talk [[Step 11|announcement]] |
==Resources== | ==Resources== | ||
| − | Step | + | Step 10 YouTube [https://www.youtube.com/watch?v=3_S7PWexNCc video] |
==Homework== | ==Homework== | ||
Prepare the coursework: the slides and your talk. | Prepare the coursework: the slides and your talk. | ||
| − | # Use | + | # Use this template for your slides [https://github.com/vadim-vic/the-Art-homework/blob/main/Name-Step-3.pdf (the same as in Step 5)] |
| − | # See the | + | # Use these [http://www.machinelearning.ru/wiki/images/8/84/M1p2022lect7_experiment.pdf slides as guidleies] |
| + | # See inspiring examples [https://sourceforge.net/p/mvr/code/HEAD/tree/lectures/MachineLearningResearch/ComputationalExperiment/fig_compilation_slides.pdf?format=raw one] and [http://www.machinelearning.ru/wiki/images/2/25/Fig_compilation_slides_stable.pdf two] | ||
| + | # The slides comprise: | ||
| + | ## goal of the experiment, | ||
| + | ## data description and general statistics, | ||
| + | ## error analysis and expected (handwritten) plots | ||
# Load a link to your slides [https://forms.gle/AArrzMbj132tbGKA7 in the form] | # Load a link to your slides [https://forms.gle/AArrzMbj132tbGKA7 in the form] | ||
Latest revision as of 17:20, 8 December 2024
We are approaching our goal of responsible project planning. The final item is planning and discussing the computational experiment. The error analysis is crucial in building a solid background for our machine-learning model. Visualizing the results of this analysis delivers information to our readers in a comprehensible and persuasive way.
Motivation for the computational experiment planning:
„Глядя на лошадиные морды и лица людей, на безбрежный живой поток, поднятый моей волей и мчащийся в никуда по багровой закатной степи, я часто думаю: где я в этом потоке?“ — Чингисхан (В. Пелевин «Чапаев и Пустота»)
– think of your part and of the part you borrow.
The seminar
- The warm-up 5-minute test
- Computational experiment and visualizing see the plan of error analysis
- Homework discussion
- Project description discussion
- Final talk announcement
Resources
Step 10 YouTube video
Homework
Prepare the coursework: the slides and your talk.
- Use this template for your slides (the same as in Step 5)
- Use these slides as guidleies
- See inspiring examples one and two
- The slides comprise:
- goal of the experiment,
- data description and general statistics,
- error analysis and expected (handwritten) plots
- Load a link to your slides in the form