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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024

Symbolic Machine Learning

The course is not on the list Without time-table
Code Completion Credits Range Language
B4M36SMU Z,ZK 6 2P+2C Czech
The course cannot be taken simultaneously with:
Symbolic Machine Learning (BE4M36SMU)
Garant předmětu:
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Department of Computer Science
Synopsis:

This course consists of three parts. The first part of the course will explain methods through which an intelligent agent can learn by interacting with its environment, also known as reinforcement learning. This will include deep reinforcement learning. The second part focuses on Bayesian networks, specifically methods for inference. The third part will cover fundamental topics from natural language learning, starting from the basics and ending with state-of-the-art architectures such as transformer. Finally, the last part will provide an introduction to several topics from the computational learning theory, including the online and batch learning settings.

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Further information:
https://cw.fel.cvut.cz/b202/courses/smu/start
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2023-08-30
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