- Docente: Daniele Bonacorsi
- Credits: 10
- SSD: FIS/01
- Language: English
- Moduli: Daniele Bonacorsi (Modulo 1) Daniele Bonacorsi (Modulo 2) Luca Clissa (Modulo 3)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2) Traditional lectures (Modulo 3)
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Bioinformatics (cod. 8020)
Also valid for Second cycle degree programme (LM) in Bioinformatics (cod. 8020)
Second cycle degree programme (LM) in Bioinformatics (cod. 8020)
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from Mar 03, 2025 to Apr 11, 2025
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from Apr 29, 2025 to Jun 05, 2025
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from May 22, 2025 to Jun 16, 2025
Learning outcomes
At the end of the course the student is able to handle different Machine Learning and Deep Learning models, to tune them to specific applications, and to design approaches that may scale with large amount of data. Moreover, the student has competences on how to exploit different hardware architectures 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.
Course contents
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.
Readings/Bibliography
Details in the first lecture of the course.
Teaching methods
Slides and interactive notebooks, plus additional material/activities in innovative/blended learning.
Assessment methods
A written exam plus a coding project.
Teaching tools
See above.
Office hours
See the website of Daniele Bonacorsi
See the website of Luca Clissa