Skip to content Skip to navigation

Data Analytics and Statistical Learning

Curriculum

Computational Science and Engineering

Data Science and Applications

Path

Data Science for Healthcare

Data Science for Life Sciences

Data Science for Social Sciences

Foundations of Data Science

Data Management and Engineering

Data Science in Geodata Science

Computational Fluid Dynamics

Computational Physics

Computational Chemistry

Computational Cosmology

Control and Design of Cyber-Physical Systems

Quantum Computing

Year

SSD

SECS-S/01

TAF

C

CFU

6

SEM

I

Lecturers

Matilde Trevisani

Detailed Description

Esse3 Course Page

Objective: introduce the student to the principles of learning from data based on statistics, and to the scientific treatment of data to obtain new and reproducible knowledge. Some of the main supervised and unsupervised statistical learning techniques are presented.