MLHEP'19 slides and notebooks
- Day 1:
- Figures of Merit, overfitting (MLE vs MAP vs AP)
- Figures of Merit, overfitting (MLE vs MAP vs AP)
- Day 2:
- Ensembles of models; bagging, boosting, random forest
- Clustering
- Ensembles of models; bagging, boosting, random forest
- Day 3:
- Computing gradient by hand. Pytorch
- Computing gradient by hand. Pytorch
- Day 4:
- Bayesian 2
- Bayesian 2