Machine Learning and Data Mining

2024/2025

Academic Year

ENG

Instruction in English

6

ECTS credits

Delivered at:

School of Data Analysis and Artificial Intelligence

Course type:

Elective course

When:

2 year, 1, 2 module

Instructors

Kogan, Alexandra

Sohrabi, Majid

Course Syllabus

Abstract

The course "Machine Learning and Data Mining"; introduces students tonew and actively evolving interdisciplinary field of modern data analysis.Started as a branch of Artificial Intelligence, it attracted attention ofphysicists, computer scientists, economists, computational biologists,linguists and others and become a truly interdisciplinary field of study. Inspite of the variety of data sources that could be analyzed, objects andattributes that from a particular dataset poses common statistical andstructural properties. The interplay between known data and unknown ones giverise to complex pattern structures and machine learning methods that are thefocus of the study. In the course we will consider methods of Machine Learningand Data Mining. Special attention will be given to the hands-on practicalanalysis of the real world datasets using available software tools and modernprogramming languages and libraries.