Machine Learning

A.Y. 2024/2025
6
Max ECTS
60
Overall hours
SSD
INF/01 ING-INF/05
Language
English
Learning objectives
The objective of the Machine Learning course is to give an in depth presentation of the techniques most used for pattern recognition, knowledge discovery, and data analysis/modeling. These techniques are presented both from a theoretical (i.e., statistics and information theory) perspective and a practical one (i.e., coding examples) through the descriptions of algorithms and their implementations in general purpose programming languages.
Expected learning outcomes
At the end of this class , the students are expected to: be familiar with the most widely used techniques for pattern recognition, knowledge discovery, and data analysis/modeling; be able to write simple programs or scripts implementing them; apply them to the bionformatic analysis of biological data.
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Lesson period
Second semester
INF/01 - INFORMATICS - University credits: 1
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 5
Practicals: 24 hours
Lectures: 36 hours
Professor: Trovo' Francesco