Sumários

Explainability in Python

20 Novembro 2023, 18:30 • Helena Aidos

- Mean decrease in impurity
- Permutation feature importance
- SHapley Additive exPlanations (SHAP)

Explainable Machine Learning

20 Novembro 2023, 16:30 • Helena Aidos

- Interpretable models: linear regression, decision trees, random forest

- Permutation feature importance
- Local surrogate models (LIME)
- Shapley values and SHapley Additiva exPlanations (SHAP)

Deep Learning in Python

14 Novembro 2023, 13:00 • Helena Aidos

- Image classification with a Convolutional Neural Network using data augmentation, dropout and batch normalization

Deep Learning in Python

13 Novembro 2023, 18:30 • Helena Aidos

- Image classification with a Convolutional Neural Network using data augmentation, dropout and batch normalization

Introduction to Deep Learning

13 Novembro 2023, 16:30 • Helena Aidos

- Perceptron

- Multi-layer perceptron
- Activation functions
- Loss function
- Training neural networks: gradient descent algorithm
- Convolutional Neural Network