Prof. Marica Manisera

• Course materials and lecture slides available on the e-learning platform.

Argomenti del programma: Main methods and models of statistical learning for modeling and understanding complex datasets, with a focus on supervised learning, with regression and classification methods. Contents include extensions of linear regression model, polynomial regression, logistic regression, and linear discriminant analysis; models for categorical data; resampling methods (cross-validation and bootstrap), linear model selection…

• Materiali del corso forniti dal docente.

Argomenti del programma: Il laboratorio formativo è tenuto dall'Ing. Stefano Bodini, Tech Leader e R&S Supervisor presso PersonalData. La cybersecurity sarà introdotta da una prospettiva informatica. I contenuti includeranno un’introduzione alla cybersecurity e alle minacce online, una panoramica aggiornata sugli ultimi sviluppi in materia di sicurezza nella gestione dei dati e dei sistemi, la definizione delle minacce ai sistemi…

• Course materials and lecture slides available on the e-learning platform.

Argomenti del programma: Main methods and models of statistical learning for modeling and understanding complex datasets, with a focus on supervised learning, with regression and classification methods. Contents include extensions of linear regression model, polynomial regression, logistic regression, and linear discriminant analysis; models for categorical data; resampling methods (cross-validation and bootstrap), linear model selection…

• Materiale didattico a cura del docente disponibile nell'area di e-learning.

Argomenti del programma: Il corso si suddivide in quattro parti. Le prime due affrontano i principali metodi della statistica descrittiva univariata e bivariata, riguardanti l'analisi dei dati relativi a caratteri qualitativi e quantitativi osservati su una popolazione statistica. La terza parte fornisce le basi della teoria del calcolo delle probabilità e presenta alcune variabili casuali discrete e continue di frequente impiego.

• Course materials and lecture slides available on the e-learning platform.

Argomenti del programma: Main methods and models of statistical learning for modeling and understanding complex datasets, with a focus on supervised learning, with regression and classification methods. Contents include extensions of linear regression model, polynomial regression, logistic regression, and linear discriminant analysis; models for categorical data; resampling methods (cross-validation and bootstrap), linear model selection…

• Course materials and lecture slides available on the e-learning platform.

Argomenti del programma: Main methods and models of statistical learning for modeling and understanding complex datasets, with a focus on supervised learning, with regression and classification methods. Contents include extensions of linear regression model, polynomial regression, logistic regression, and linear discriminant analysis; models for categorical data; resampling methods (cross-validation and bootstrap), linear model selection…