MACHINE LEARNING

MACHINE LEARNING

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iten
Codice
90498
ANNO ACCADEMICO
2018/2019
CFU
9 cfu al 1° anno di 10852 COMPUTER SCIENCE (LM-18) GENOVA

5 CFU al 2° anno di 8732 INGEGNERIA ELETTRONICA (LM-29) GENOVA

SETTORE SCIENTIFICO DISCIPLINARE
INF/01
LINGUA
Inglese
SEDE
GENOVA (COMPUTER SCIENCE )
periodo
1° Semestre
materiale didattico

OBIETTIVI E CONTENUTI

OBIETTIVI FORMATIVI

Students will understand and learn how to use key machine learning algorithms. The core of the course focuses on supervised learning, both parametric and nonparametric, and covers both computational and modelling aspects. Further classes will explore more advanced topics such as deep learning, unsupervised learning, variable selection, dictionary learning and manifold learning, to name a few. Students will be involved in project activities.

DOCENTI E COMMISSIONI

Ricevimento: Su appuntamento via email

Commissione d'esame

ALESSANDRO VERRI (Presidente)

LORENZO ROSASCO (Presidente)