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Basics of Bayesian inference

2017 – 2018, V semester

Course information

Students will master the theoretical material provided by the course, be able to apply the knowledge gained to solving theoretical and applied problems. The course will aim at understanding of the technique of development of Bayesian inference as the foundation of machine learning. Students will master practical skills in data analysis, building and training of models using one of the programming languages, solving applied problems using data analysis.


Course program


Lecturers

Associate Professor