Part 3: Machine Learning
Reading assignment:
- The Barcelona declaration for the proper development and usage of artificial intelligence in Europe by Luc Steels and Ramon Lopez de Mantaras
- A few useful things to know about machine learning by P. Domingos
| Tuesday (theory) | Thursday (lab) | |
|---|---|---|
| 18-20 Nov. | [Theory] Intro to ML; k-nearest neighbors and decision trees (slides) | [Lab] Environment setup, and intro to dataset loading/visualization. First classification tasks (files) |
| 25-27 Nov. | Javier's exam (Nov. 25) | [Theory] Linear and Logistic Regression (slides) |
| 2-4 Nov. | [Theory] Evaluation of classifiers (slides) | [Lab] Cross-validation, underfitting and overfitting, hyperparameter tuning with grid search (files) |
| 9-11 Dec. | [Theory] Unsupervised learning (slides) | [Lab] Unsupervised learning (notebook) |
| 16-18 Dec. | Examen ML (Dec. 16) | Projecte |