Scheda insegnamento

Anno Accademico 2020/2021

Conoscenze e abilità da conseguire

The course aims to apply Machine Learning to complex real-world datasets and relies on the basic concepts introduced in the course "Applied Machine Learning – Basic" that is propedeutic to this one. At the end of the course the student has competences on how to exploit different hardwares for Machine Learning and Deep Learning solutions, both on-premise and via cloud. The student will be also introduced to most recent approaches and active areas of work in the Artificial Intelligence community worldwide.


Advanced concepts of Applied Machine Learning. Another more introductory course with basic concepts (Applied Machine Learning - BASIC) is suggested as introduction to this course.

Metodi didattici

Slides and interactive notebooks.

Modalità di verifica e valutazione dell'apprendimento

Written exam and coding project.

Orario di ricevimento

Consulta il sito web di Daniele Bonacorsi