- Docente: Daniele Bonacorsi
- Credits: 6
- SSD: FIS/01
- Language: English
- Moduli: Daniele Bonacorsi (Modulo 1) Luca Clissa (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- 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)
Learning outcomes
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.
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