Machine learning - (5 cfu)
|Prof. Stefano Cagnoni||Tel. 0521-905731 - Fax. 0521-905723|
| ||E-mail. firstname.lastname@example.org|
| ||Home page. http://www.ce.unipr.it/people/cagnoni|
The course aims at providing students with the basic concepts regarding adaptive methods, often biologically-inspired, which allow computer emulation of learning-from-examples processes, and are used to optimize/design solutions to real-world problems.
Biological and automatic learning.
Review of the main classical machine-learning techniques
Soft Computing techniques
Elements of Fuzzy Logic
Examples of real-world applications
Practical assignments in laboratory on real-world examples
Intermediate evaluation of the lab assignments and final project.
Teaching material available online and other material that will be distributed and published online all through the course.
Ultimo aggiornamento: 24-07-2006