PhD Summer Course "Machine Learning: A Computational Intelligence Approach"

Dove e quando

2020-06-01 | Microsoft Teams

Instructors: Francesco Masulli University of Genova - Italy (email: francesco.masulli@unige.it) Stefano Rovetta University of Genova - Italy (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. Venue: Virtual classes will take place on Microsoft Teams For more information see http://www.disi.unige.it/person/MasulliF/didattica/ML-CI-PhD/MLCI-2020… https://person.dibris.unige.it/masulli-francesco/didattica/ML-CI-PhD/ML…

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Francesco Masulli

Ultimo aggiornamento 28 Maggio 2020