PhD Summer Course at DIBRIS: Machine Learning: A Computational Intelligence Approach

[Francesco Masulli]

MLCI - PhD Summer Course in Genova, Italy - June  5-9 2017


Machine Learning: A Computational Intelligence Approach (MLCI 2017)


Instructors:

Francesco Masulli
University of Genova - Italy (email: francesc...@unige.it)

Stefano Rovetta
University of Genova - Italy (email: stefano...@unige.it)


Period: Jun 5-9, 2017  (Mon-Thu 11:00 am - 1:00 pm and 2:00 pm - 4:00 pm; Fri 11:00 am - 1:00 pm  only)

Number of hours: 18

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.

The enrolment to the course is free, but registration is required by May 29th, 2017 at https://docs.google.com/forms/d/e/1FAIpQLSfcDHwoqBvV6pmLvMaPDWojXAUXYkehaftKP0XKM0q1KeGV0w/viewform?usp=send_form


The course will be held in Genova in the heart of the Italian Riviera.

For more information see URL http://www.disi.unige.it/person/MasulliF/didattica/ML-CI-PhD/MLCI-2017.html