PhD-Summer Course - Jun 1-5 University of Genoa, Italy


(Virtual Edition on Teams)

Machine Learning: A Computational Intelligence Approach

MLCI 2020 (8th  edition)


To enroll (for free) go to this  LINK on MS Teams or write to francesco.masulli@unige.it


genoa

Instructors:
Francesco Masulli DIBRIS - UniGe (email: francesco.masulli@unige.it)
Stefano Rovetta
 DIBRIS - UniGe (email: stefano.rovetta@unige.it)


Period: Jun 1-5, 2020    (Mon-Fri 11:00 am - 1:00 pm and 2:30 pm - 5.30 pm)
Number of hours: 20 (+  some students' seminars) 

Summary: The Computational Intelligence is a set of methodologies for information processing inspired by natural systems that in recent decades have been successfully applied to the solution of complex problems. Among them, one can mention the Neural Networks, the Evolutionary Algorithms, the Swarm Intelligence models, the Simulated Annealing, and the Fuzzy sets and Systems. In this course we present some applications of Computational Intelligence methods to supervised and unsupervised problems of Machine Learning.

Syllabus: Supervised Classification, Neural Networks, Evaluation of Classifiers, Introduction to Clustering, Statistical Clustering, Fuzzy Sets, Fuzzy Clustering, Evolutionary Algorithms, Evolutionary Clustering, Applications.

Preliminary program:  LINK

In collaboration with:
dibris
 sig-l
 IEEE Italy Section Computational Intelligence Society Chapter LOGO
 siren
 shro

Additional Info

Venue: Virtual classes will take place on Microsoft Teams LINK

Credits and Exams: If you attend most of the classes you will be attributed 6 credits with the DIBRIS metric (or 2 credits according to the ECTS grading scale). The credits attribution will be reported on the certificate of attendance we will handle at the end of the course.

If you need an evaluation, the exam will consist in a sw project or in a seminar.

Prerequisites: Calculus, Linear Algebra, Statistics