PhD-Summer Course - Machine Learning: A Computational Intelligence Approach 4-7 June 2018, Italy
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. Some applications of Computational Intelligence methods to supervised and unsupervised problems of Machine Learning are presented in the course.
Classes will take place at the Department of Informatics Bioengineering Robotics and Systems Engineering (DIBRIS) of the University of Genova in Via Dodecaneso 35, 16146 Genova. Genova is in the region of Liguria in the Italian Riviera.
Credits and Exams
If the participant attends most of the classes he/she 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 will be handled at the end of the course. If the participant need an evaluation, the exam will consist in a sw project or in a seminar.
Calculus, Linear Algebra, Statistics
Jun 4-7, 2018 (Mon-Wed 10:00 am - 13.00 pm, 2:00 pm - 6:00 pm; Thu 10:00 am - 13.30 pm only)
Number of hours: 18 (+some students' seminars)
Francesco Masull DIBRIS - UniGe (email: email@example.com)
Stefano Rovetta DIBRIS - UniGe (email: firstname.lastname@example.org)
Supervised Classification, Neural Networks, Evaluation of Classifiers, Introduction to Clustering, Statistical Clustering, Fuzzy Sets, Fuzzy Clustering, Evolutionary Algorithms, Evolutionary Clustering, Applications.
For more information click "LINK TO ORIGINAL" below.