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Regular version of the site
Master 2014/2015

Machine Learning and Data Mining

Type: Compulsory course (Data Science)
Area of studies: Applied Mathematics and Informatics
When: 1 year, 3, 4 module
Instructors: Dmitry I. Ignatov (author, delivers lectures, conducts seminars, checks works and administers exams)
Specialization: Интеллектуальные системы и структурный анализ
Master’s programme: Data Science
Language: English
ECTS credits: 3

The course “Machine Learning and Data Mining” introduces students to new and actively evolving interdisciplinary field of modern data analysis. Started as a branch of Artificial Intelligence, besides computer scientists it attracted attention of physicists, economists, computational biologists, linguists and others and become a truly interdisciplinary field of study. In spite of the variety of data sources that could be analyzed, objects and attributes that from a particular dataset poses common statistical and structural properties. The interplay between known data and unknown ones give rise to complex pattern structures and machine learning methods that are the focus of the study. In the course we will consider methods of Machine Learning and Data Mining. Special attention will be given to the hands-on practical analysis of the real world datasets using available software tools and modern programming languages and libraries.