Master
2024/2025
Modern Data Analysis: Machine Learning
Type:
Compulsory course
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
60
Open to:
students of one campus
Master’s programme:
Магистр по наукам о данных (о)
Language:
English
ECTS credits:
3
Contact hours:
12
Course Syllabus
Abstract
In this course, students are introduced to the main types of machine learning problems. Simple and multiple linear regression, evaluation of the quality of the obtained models, interpretation of the importance of features are considered. The solution of the classification problem is also discussed: algorithms such as Logistic Regression, Support Vector Machine and Decision Trees are considered. In addition, students gain insight into model ensembles.