Jesper Dr.amsch 
Are you a scientist applying Machine Learning?
I wrote a tutorial with ready-to-use notebooks to make your life easier!
Let's focus on 3 aspects:
• More Citations
• Easier Review
• Better Collaboration
☝ First things first!
This was a #EuroScipy2022 tutorial.
In the future, there will be a talk recording. Until then, the gist:
1. Model Evaluation
2. Benchmarking
3. Model Sharing
4. Testing
5. Interpretability
6. Ablation
https://github.com/JesperDramsch/euroscipy-2022-ml-for-science-reproducibility-tutorial
🧵👇
GitHub - JesperDramsch/euroscipy-2022-ml-for-science-reproducibility-tutorial: Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way to top-tier reproducibility.
Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting yo...
Jesper Dr.amsch – Realworld ML
Jacob Tomlinson
