We are happy to invite you to the new BOOSTalent course “Unsupervised Machine Learning”, the last one in the series dedicated to machine learning.
Level: advanced
Language: English
Format: online
Course duration: 15 hours (0.5 ECTS)
Availability: self-study based on video and text materials on the KAU online platform with tests for each topic;
Target audience: students and postgraduates majoring in computer science, applied physics, materials science, bioinformatics.
Lecturers: Dr. Vitaliy Tymchyshyn, Junior Research Fellow at Kyiv Academic University (KAU), Junior Research Fellow at Bogolyubov Institute of Theoretical Physics (BITP);
Dr. Volodymyr Bezguba, Senior Research Fellow at KAU, Head of KAU Laboratory of Data Science and Machine Learning;
You can meet the lecturer and learn what to expect from the course in this video.
Required knowledge
Basic knowledge of higher mathematics and programming acquired during the bachelor's degree. Basic knowledge of Python. Basics of machine learning.
Learning outcomes
Knowledge and understanding of specialized machine learning techniques such as manifold learning and topological data analysis.
The ability to determine the need and effectiveness of these methods for one's own tasks and to directly apply them in one's own projects.
The course is free. After its completion, all participants who complete the program and pass the tests will receive certificates with 1 ECTS credit.
The Deep Tech courses are delivered to you by the Kyiv Academic University as a part of the BOOSTalent project.
