Modeling: Training a model on aggregated & anonymized labels (blog post coming soon)
Description de votre conférence
Results:
No I didn't find a way to predict the elections results
But It's surprising how much you can learn about voters behavior (who votes for which party), even using only aggregated public data. --> cherry picking of some interesting results
It's only qualitative results.
Still, it's interesting (worrying?) to think about what would be possible with more data (e.g: FAANG)
Modeling:
A few schemas about how to code in pytorch a model to train on aggregated & weighted data.
Explainability modules used to get the results (SHAP)
Informations diverses
Thématique, Labels : Deep learning / Explainability / Social sciences
Niveau de difficulté (débutant|avancé|confirmé) : débutant
Le speaker
Quentin Chenevier - Lead Data Scientist & Product Manager @Airbus
Sujet de votre conférence
Predicting the Elections with Deep Learning - experiment in 2 parts:
Description de votre conférence
Results:
Modeling:
Informations diverses