Master
2022/2023
Research seminar "Technologies of machine learning"
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Compulsory course (Machine Learning and Data Analysis)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Department of Informatics
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Aleksei Shpilman
Master’s programme:
Machine Learning and Data Analysis
Language:
Russian
ECTS credits:
3
Contact hours:
34