Master
2024/2025
Data Analysis and Machine Learning
Type:
Compulsory course (Artificial Intelligence and Computer Vision)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Department of Applied Mathematics and Informatics
When:
1 year, 2 module
Mode of studies:
distance learning
Online hours:
90
Open to:
students of one campus
Master’s programme:
Искусственный интеллект и компьютерное зрение
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.