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Master 2018/2019

Introduction to Machine Learning and Data Mining

Category 'Best Course for Career Development'
Type: Compulsory course (Data Science)
Area of studies: Applied Mathematics and Informatics
When: 1 year, 3, 4 module
Instructors: Dmitry I. Ignatov (delivers lectures, conducts seminars and administers exams)
Master’s programme: Data Science
Language: English
ECTS credits: 6

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, it attracted the attention not only mathematicians and computer scientists, but that 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 from a particular dataset possess 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.

Course materials: