|
DATE
|
TOPIC
|
MATERIALS
|
|
2/12
|
Introduction to AI & Machine Learning |
- Slides [II.1] - Demo 1, Demo 2 - [Neapolitan, Jiang (2018), Chap. 1]. |
|
5/12
9/12 |
- Supervised and Unsupervised Machine Learning - K-Nearest Neighbours |
- Slides [II.2], [II.2b] - Demo 1, Demo 2, Demo 3 - [Bengio, Courville, Goodfellow (2016), Sect. 5, 5.1, 5.2, 5.3] - [Tamburini (2022), Sect. 2.3] |
|
9/12
12/12 |
Evaluation of ML systems. |
- Slides [II.3] - SemEval Evaluation Campaign |
|
12/12
15/12 |
ML experiments and Evaluation with Orange. Laboratory of Machine Learning. |
- Slides [II.4] - Orange Package Web Site - ML Lab |
|
-
|
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.