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Regular version of the site
2024/2025

Data Analysis and Machine Learning

Type: Mago-Lego
Delivered by: Department of Applied Mathematics and Informatics
When: 2 module
Online hours: 90
Open to: students of one campus
Language: English
ECTS credits: 6
Contact hours: 12

Course Syllabus

Abstract

The course is devoted to the presentation of modern data analysis and machine learning methods that are widely used in computer vision. The main emphasis is placed on such sections as learning and inference in vision. A taxonomy of models that relate the measured image data and the actual scene content is studied. Generative and discriminative models Classification, regression and clustering methods.