PhD-Summer
Course - 31 May - 4 Jun 2021, University of Genoa,
Italy
(Virtual Edition on Teams)
Machine Learning: A Computational Intelligence
Approach
MLCI 2021 (9th edition)
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enroll (for free) compile the form at this link before
27 May 2021 (deadline passed)
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Instructors:
Period: 31 May - 4 Jun 2021 - 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:
Additional Info
Venue: Virtual classes
will take place on Microsoft Teams
Credits
and Exams: If you attend most of the classes you will be
attributed 6 credits with the DIBRIS metric. 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 (that you can have during or after
the MLCI course) .
Prerequisites:
Calculus, Linear Algebra, Statistics
