Atelier IA explicable

Some interesting material

• Interpretable ML Book

• A book on causal inference

• Autour de ChatGPT. Un article de Michèle Sebag

A flavour of eXplainaible AI (XAI)

• Qu'est-ce que l'IA explicable? 

• Une introduction

• Permutation Feature Importance : PFI.ipynb, data : credit_score.csv

• Partial Dependence Profile :here, PDP.ipynb, dataset : adult.csv

• Tutorial on LIME : TutorialLIME.ipynb. Dataset : BostonHousing.csv

• Tutorial on SHAP : TutorialSHAP.ipynb. Dataset : telco_data.csv 

• Lab : Lab.pdf. Dataset : hour.csv

• More on XGBoost : this website or this one

• More on LightGBM : this website

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Causality 

• Why Causality : a talk

• Estimation of the average effect of a treatment : the RCT framework

• RCT.ipynb. Dataset : village.csv

• Propensity score : IPW

• Notebooks on Causality : Causality1a.ipynb, Causality1b.ipynb, Causality1c.ipynb

• Datasets : learning_mindset.csv, heart_failure.csv