Syllabus del corso
Titolo
Bioinformatics and Biostatistics for Big Data – Winter School II
Docente(i)
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 S. Nobile
Bayesian and causal networks - 4h Fabio Stella
Lingua
English
Breve descrizione
To understand the different applications of bioinformatics on big data in medical research.
CFU / Ore
3 / 24
Periodo di erogazione
November 13th 9.00-18.00 - IN PRESENCE
November 14th 9.00-18.00 - IN PRESENCE
November 15th 9.00-13.00 - IN PRESENCE
COURSE EVALUATION (GROUP ASSIGNMENT): November 29th 9.00-13.00
Title
Bioinformatics and Biostatistics for Big Data – Winter School II
Teacher(s)
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 S. Nobile
Bayesian and causal networks - 4h Fabio Stella
Language
English
Short description
To understand the different applications of bioinformatics on big data in medical research.
CFU / Hours
3 / 24
Teaching period
November 13th 9.00-18.00 - IN PRESENCE
November 14th 9.00-18.00 - IN PRESENCE
November 15th 9.00-13.00 - IN PRESENCE
COURSE EVALUATION (GROUP ASSIGNMENT): November 29th 9.00-13.00