Master
2022/2023
Mentor's Seminar
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-Intensive Systems)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Elena Kantonistova
Master’s programme:
Машинное обучение и высоконагруженные системы
Language:
Russian
ECTS credits:
6
Contact hours:
20