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master's thesis
Uporaba metoda strojnog učenja za razvoj prediktivnih modela vezanih uz COVID-19 pandemiju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:819474
Kraljević, Nikola
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kraljević, N. (2021). Uporaba metoda strojnog učenja za razvoj prediktivnih modela vezanih uz COVID-19 pandemiju (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:819474

Kraljević, Nikola. "Uporaba metoda strojnog učenja za razvoj prediktivnih modela vezanih uz COVID-19 pandemiju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:819474

Kraljević, Nikola. "Uporaba metoda strojnog učenja za razvoj prediktivnih modela vezanih uz COVID-19 pandemiju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:819474

Kraljević, N. (2021). 'Uporaba metoda strojnog učenja za razvoj prediktivnih modela vezanih uz COVID-19 pandemiju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:819474

Kraljević N. Uporaba metoda strojnog učenja za razvoj prediktivnih modela vezanih uz COVID-19 pandemiju [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:819474

N. Kraljević, "Uporaba metoda strojnog učenja za razvoj prediktivnih modela vezanih uz COVID-19 pandemiju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:819474

Metadata
TitleUporaba metoda strojnog učenja za razvoj prediktivnih modela vezanih uz COVID-19 pandemiju
Title (english)Using Machine Learning Methods to Develop Predictive Models Related to the COVID-19 Pandemic
AuthorNikola Kraljević
MentorDamir Pintar (mentor)
Committee memberDamir Pintar (predsjednik povjerenstva)
Committee memberLuka Humski (član povjerenstva)
Committee memberBoris Vrdoljak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu cilj je bilo pronaći podatke vezane u COVID-19, razviti prediktivne modele strojnog učenja, te vidjeti iskoristivost MCMC metoda u tu svrhu. Modeli strojnog učenja nam mogu prikazivati razvoj COVID-19 pandemije u budućnosti i koliko nam neke značajke utječu na rješenje. MCMC modele koristili smo kako bi dobili distribuciju s kojom možemo vidjeti nalazimo li se u vrhuncu pandemije, kada je počeo i kada je završio. Kroz diplomski rad može se vidjet kratki uvod u strojno učenje i MCMC metode, te rješenja za različite modele koji su opisani.
Abstract (english)
In this work, the aim was to find data related to COVID-19, develop predictive models of machine learning, and to find usage of MCMC methods for these purposes. Machine learning models can show us development of COVID-19 pandemic in the future and how much some features affect our solution. MCMC models were used to get distribution which shows us peak of pandemic when it started and when it ended. Through this work you can see brief introduction to machine learning and MCMC methods, and solutions for the various models described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:819474
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 15:20:44