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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Computational Intelligence Techniques for Machine Learning

The course is not on the list Without time-table
Code Completion Credits Range Language
XEP33CML Z,ZK 4 1+1s
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Department of Cybernetics
Synopsis:

Learning objective:become familiar with the theory and applications of computational intelligence methods in the context of systems capable of learning from data. Introduction, motivation for learning, computational intelligence. Supervised, unsupervised and reinforcement learning paradigms. Fuzzy systems, neural networks, neuro-fuzzy systems, and other general function approximators for supervised learning. Fuzzy clustering methods for unsupervised learning. Reinforcement learning for single-agent and multi-agent systems. Examples of applications and case studies. The course will be connected with - a computer assignment with Matlab/Simulink and a literature assignment.

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Further information:
http://www.dcsc.tudelft.nl/~babuska/CTU/
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-05-23
For updated information see http://bilakniha.cvut.cz/en/predmet1068006.html