Courses

A.A. 2025-2026

Statistical and Mathematical Methods for Machine Learning

• Introduction to Python
• Basics of Machine Learning
• Gradient Descent (GD)
• Stochastic Gradient Descent (SGD)
• Supervised Learning
• Unsupervised Learning

A.A. 2024-2025

Computational Imaging

• Basics of Neural Networks
• Basics of Pytorch
• Introducing IPPy
• End-to-End Neural Networks

Calcolo Numerico

• Introduzione a Python
• Approssimazione di Dati mediante Minimi Quadrati
• Underfit/Overfit
• Introduzione all’Ottimizzazione Numerica
• Metodo di Discesa del Gradiente
• Metodo dei Gradienti Coniugati

Statistical and Mathematical Methods for Machine Learning

• Introduction to Python
• A brief introduction to Machine Learning
• SVD
• PCA
• Optimization with Gradient Descent
• Regression
• MLE-MAP