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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 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

github.com/JesperDramsch/euros

🧵👇

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