Step 10
From m1p.org
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:
“Gazing at the faces of the horses and the people, at this boundless stream of life raised up by the power of my will and now hurtling into nowhere across the sunset-crimson steppe, I often think: where am I in this flux? GHENGIS KHAN.” — Victor Pelevin
– 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