Research of Fedora Status for Machine Learning – Dominik Tuchyňa
Dominik Tuchyňa
Bachelor's thesis
Research of Fedora Status for Machine Learning
Research of Fedora Status for Machine Learning
Abstract:
Témou bakalárskej práce bolo identifikovať, či je distribúcia Fedora preferovaná v oblasti vývoja strojového učenia a taktiež vytvoriť nápomocný obsah pre začínajúcich programátorov v tomto novom, progresívne sa vyvíjajúcom obore. Okrem toho bola časť práce orientovaná na vyriešenie problému závislostí balíčkovania modulov SRPM s použitím systému založeného na strojovom učení, ktorý odporúča chýbajúce …moreAbstract:
The topic of this thesis was to find out whether the Fedora distribution attracts machine learning developers and also to create a guideline content for newcomers in this new, progressively developed field. In addition, part of the thesis research was also focused on solving the SRPM packaging dependency issue by using recommendation system based on machine learning algorithm. The model has two different …more
Language used: English
Date on which the thesis was submitted / produced: 27. 5. 2019
Identifier:
https://is.muni.cz/th/okn3p/
Thesis defence
- Date of defence: 26. 6. 2019
- Supervisor: RNDr. Adam Rambousek, Ph.D.
- Reader: Mgr. Marek Grác, Ph.D.
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsBachelor programme / field:
Applied Informatics / Applied Informatics