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undergraduate thesis
Predviđanje trendova u financijskim vremenskim nizovima metodama strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:836467
Petrušić, Nikola
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Petrušić, N. (2018). Predviđanje trendova u financijskim vremenskim nizovima metodama strojnog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:836467

Petrušić, Nikola. "Predviđanje trendova u financijskim vremenskim nizovima metodama strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:836467

Petrušić, Nikola. "Predviđanje trendova u financijskim vremenskim nizovima metodama strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:836467

Petrušić, N. (2018). 'Predviđanje trendova u financijskim vremenskim nizovima metodama strojnog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:836467

Petrušić N. Predviđanje trendova u financijskim vremenskim nizovima metodama strojnog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 December 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:836467

N. Petrušić, "Predviđanje trendova u financijskim vremenskim nizovima metodama strojnog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:836467

Metadata
TitlePredviđanje trendova u financijskim vremenskim nizovima metodama strojnog učenja
Title (english)Forecasting Trends in Financial Time Series Using Machine Learning Methods
AuthorNikola Petrušić
MentorZvonko Kostanjčar (mentor)
Committee memberZvonko Kostanjčar (predsjednik povjerenstva)
Committee memberMate Puljiz (član povjerenstva)
Committee memberStjepan Begušić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Predviđanje trendova na financijskom tržištu zahtjevan je posao koji uključuje mnoge faktore. Strojno učenje metoda je učenja računala na osnovi podataka bez eksplicitnog programiranja. Financijsko tržište opisuje se modelima strojnog učenja koji ovise o vrijednostima fundamentalnih faktora dionica.
Abstract (english)
Predicting trends in financial markets iz a demanding task which includes many factors. Machine learning is a method of teaching computers based on raw data without explicit programming. Financial markets are described using machine learning models which depend on the values of fundamental factors of stock.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:836467
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 23:57:15