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DATE
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TOPIC
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MATERIALS
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Introduction to AI & Machine Learning |
- Slides [II.1] - Demo 1, Demo 2 - [Neapolitan, Jiang (2018), Chap. 1]. |
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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] |
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Evaluation of ML systems. | - Slides [II.3] |
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ML experiments and Evaluation with Orange. Laboratory of Machine Learning. |
- Slides [II.4] - Orange Package Web Site - ML Lab |
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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.