Artificial Intelligence
Licence 2 Internationale
Materials for labs
- Data Preprocessing
- Unsupervised Learning
- Tutorial sheets: k-means part 1, DBSCAN and HAG part 2
- k-means:
- Density-Based Spatial Clustering of Applications with Noise (DBSCAN):
- Hierarchical Clustering:
- Supervised Learning
- Tutorial sheets: k-nn part 1, Decision Trees and Random Forests part 2, Perceptron, MLP and SVM part 3.
- k-NN:
- Decision Trees and Random Forests:
- Perceptron, MLP and SVM:
- Neural Networks:
- Projects assignment: