- Docente: Daniele Bonacorsi
- Crediti formativi: 6
- SSD: FIS/01
- Lingua di insegnamento: Inglese
- Moduli: Daniele Bonacorsi (Modulo 1) Luca Clissa (Modulo 2)
- Modalità didattica: Convenzionale - Lezioni in presenza (Modulo 1) Convenzionale - Lezioni in presenza (Modulo 2)
- Campus: Bologna
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Corso:
Laurea Magistrale in
Bioinformatics (cod. 8020)
Valido anche per Laurea Magistrale in Bioinformatics (cod. 8020)
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.
Contenuti
Advanced concepts of Applied Machine Learning. Another more introductory course with basic concepts (Applied Machine Learning - BASIC [https://www.unibo.it/it/didattica/insegnamenti/insegnamento/2020/455026] ) is suggested as introduction to this course.
Testi/Bibliografia
Details in the first lecture of the course.
Metodi didattici
Slides and interactive notebooks, plus additional material/activities in innovative/blended learning.
Modalità di verifica e valutazione dell'apprendimento
A written exam plus a coding project.
Strumenti a supporto della didattica
See above.
Orario di ricevimento
Consulta il sito web di Daniele Bonacorsi
Consulta il sito web di Luca Clissa