Syllabus del corso
Obiettivi
To understand the different applications of bioinformatics on big data in medical research.
Contenuti sintetici
Introduction to machine learning – 2h Daniela Besozzi
Unsupervised learning – 4h Daniela Besozzi
Supervised learning – 4h Daniele Papetti + 2h Daniela Besozzi
Interpretable and explainable artificial intelligence – 4h Marco Nobile
Bayesian and causal networks – 4h Fabio Stella
Periodo di erogazione dell'insegnamento
November 14th 9.00-13.00 Daniela Besozzi - IN PRESENCE
November 14th 14.00-18.00 Daniele Papetti - IN PRESENCE
November 15th 9.00-13.00 Daniela Besozzi - IN PRESENCE
November 15th 14.00-18.00 Marco Nobile - IN PRESENCE
November 16th 9.00-13.00 Fabio Stella - IN PRESENCE
COURSE EVALUATION: November 30th 9.00-13.00
Modalità di verifica del profitto e valutazione
Group assignment
Aims
To understand the different applications of bioinformatics on big data in medical research.
Contents
Introduction to machine learning – 2h Daniela Besozzi
Unsupervised learning – 4h Daniela Besozzi
Supervised learning – 4h Daniele Papetti + 2h Daniela Besozzi
Interpretable and explainable artificial intelligence – 4h Marco Nobile
Bayesian and causal networks – 4h Fabio Stella
Semester
November 14th 9.00-13.00 Daniela Besozzi - IN PRESENCE
November 14th 14.00-18.00 Daniele Papetti - IN PRESENCE
November 15th 9.00-13.00 Daniela Besozzi - IN PRESENCE
November 15th 14.00-18.00 Marco Nobile - IN PRESENCE
November 16th 9.00-13.00 Fabio Stella - IN PRESENCE
COURSE EVALUATION: November 30th 9.00-13.00
Assessment method
Group assignment