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- Integrate old slides and improve where needed
- Give the “science story”: how to design an experiment
- Highlight the objectives of the workshop: give tools to address the hard parts of ML on Code: preprocessing and structured modeling
- Highlight that notebooks follow the same scenario (vectorizing source code + applying model)
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