This course is focused on selected parts of Soft Computing, such as fuzzy logic and selected machine learning models (decision trees, support vector machines, neural networks and Bayesian networks). It provides both the theoretical background, as well as a practical introduction to currently used frameworks and libraries (Python). The lectures are focused on theoretical analysis and the domain of possible application. The exercises are focused both on the own design and implementation of algorithms, as well as on the transfer of practical experience in the use of software tools.
- Učitel: Sergii Babichev
- Učitel: Pavel Beránek
- Učitel: Petr Kubera
- Učitel: Viktor Maškov