Professor
FABIO ROLI (Tit.)
Period
Second Semester 
Teaching style
Convenzionale 
Lingua Insegnamento
 



Informazioni aggiuntive

Course Curriculum CFU Length(h)
[70/83]  ELECTRONIC ENGINEERING [83/00 - Ord. 2016]  PERCORSO COMUNE 4 40

Objectives

The objective of this course is to provide students with the fundamental elements of machine learning and its applications to pattern recognition. The main concepts and methods of machine learning are presented, as well as basic methods to design and evaluate the performance of a pattern recognition system.
Course outcome: understanding of fundamental concepts and methods of machine learning and its applications to pattern recognition. Ability to analyze and evaluate performance of simple algorithms for pattern classification. Ability to solve simple problems on designing and performance assessment of pattern classification algorithms.

Prerequisites

This course is intended for undergraduate students who have a basic knowledge of linear algebra, calculus, and probability theory

Contents

Course contents
1) Introduction
2) Elements of Bayesian decision theory
3) Pattern classification methods
4) k-nn classifier and decision trees
5) Elements of linear discriminant functions and support vector machines
6) Lab exercises
7) Python Programming language and computer exercises

Teaching Methods

Course organization:
Theory: 10 hours
Exercises: 10 hours
Laboratory: 20 hours

Verification of learning

Home computer-exercise assignment + Oral examination
You can do intermediate assessments instead of the oral examination
You can do intermediate assessments instead of the home computer-exercise assignment
You can do the oral examination only after the computer exercise
Teams of 3 students maximum can do the home computer exercise
Grading policy = Computer exercise (10/30) + Oral examination (20/30)

Texts

Pattern Classification (2^ edizione), R. O. Duda, P. E. Hart, e D. G. Stork, John Wiley & Sons, 2000

More Information

All the course material is available on the course web site

Questionnaire and social

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