Length: 10 hours - 2 cfu
Abstract
The course provides fundamental understanding on statistical model fitting using Maximum Likelihood Estimation (MLE) and Maximum a Posteriori (MAP) paradigms. The main topics will be: i) review on MLE and MAP; ii) Linear and Multiple Linear Regression with MLE/MAP; iii) Logistic Regression with MLE/MAP; iv) ROC curve analysis and its probabilistic interpretation; v) Survival analysis and Cox proportional hazard model.
Dates & Venue
Giorni | Aula | Orario |
29/01/2024 | Lab. Laurea Magistrale 3° floor - Via Celoria 18 - 20133 Milan | 10:30-12:30 |
30/01/2024 | Lab. Laurea Magistrale 3° floor - Via Celoria 18 - 20133 Milan | 10:30-12:30 |
31/01/2024 | Lab. Laurea Magistrale 3° floor - Via Celoria 18 - 20133 Milan | 10:30-12:30 |
01/02/2024 | Lab. Laurea Magistrale 3° floor - Via Celoria 18 - 20133 Milan | 10:30-12:30 |
02/02/2024 | Lab. Laurea Magistrale 3° floor - Via Celoria 18 - 20133 Milan | 10:30-12:30 |
Suggested Readings
Lecturer:
Dr. Massimo Walter Rivolta - Dipartimento di Informatica
Assessor:
Dr. Massimo Walter Rivolta - Dipartimento di Informatica