|
DATE
|
TOPIC
|
MATERIALS
|
|
5/12*
|
Introduction to AI & Machine Learning |
- Slides [II.1] - Demo 1, Demo 2 - [Neapolitan, Jiang (2018), Chap. 1]. |
|
5/12*
6/12* |
Supervised and Unsupervised Machine Learning |
- Slides [II.2] - Demo 1, Demo 2, Demo 3 - [Bengio, Courville, Goodfellow (2016), Sect. 5, 5.1, 5.2, 5.3] - [Tamburini (2022), Sect. 2.3] |
|
6/12*
|
Evaluation of ML systems. | - Slides [II.3] |
|
11/12
12/12 15/12 |
ML experiments and Evaluation with Orange. Laboratory of Machine Learning. |
- Slides [II.4] - Orange Package Web Site - ML Lab |
|
19/12
|
ML for Text Processing. Laboratory of Machine Learning. |
- Slides [II.4] - Orange Package Web Site - ML Lab |
REFERENCES
- Bengio, Courville, Goodfellow (2016). Deep Learning. The MIT Press.
- Neapolitan, Jiang (2018). Artificial Intelligence. Chapman and Hall.
- Tamburini, F. (2022). Neural Models for the Automatic Processing of Italian, Bologna: Pàtron.