Master 2024/2025

Machine Learning

Type: Compulsory course (Master of Data Science)

Delivered by: Big Data and Information Retrieval School

When: 1 year, 3, 4 module

Open to: students of one campus

Language: English

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.