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| Anno Accademico |
2023/2024 |
| Corso di Studi |
Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology |
| Anno di Corso |
1 |
| Codice Identificativo |
061640 |
| Denominazione Insegnamento |
ONLINE LEARNING AND MONITORING |
| Tipo Insegnamento |
MONODISCIPLINARE |
| Crediti Formativi Universitari (CFU) |
5.0 |
| Programma sintetico |
This course provides an overview of Machine Learning (ML) methods that are meant for streaming data and that force the learner to operate in an online or incremental manner. These settings are often encountered in realworld applications, e.g., to select sponsored links for Internet advertising, or to detect frauds in credit card transactions. The online settings pose relevant challenges to classical data-driven solutions since i) the model has to integrate new pieces of information as soon as they become available, ii) the learning algorithm has to adapt to the current operating conditions, iii) the learning algorithm has to be computationally efficient to be executed in real-time. |
| Settori Scientifico Disciplinari (SSD) |
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Codice SSD
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Descrizione SSD
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CFU
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ING-INF/05
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SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
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5.0
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Scaglione
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Nome
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Programma dettagliato
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Da (compreso)
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A (escluso)
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A
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ZZZZ
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Trovo' Francesco, Boracchi Giacomo
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