prikaz prve stranice dokumenta Artificial Intelligence in Finance
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master's thesis
Artificial Intelligence in Finance
Zagreb: University of Zagreb, Faculty of Economics and Business, 2021. urn:nbn:hr:148:866282
Pavelić, Borna
University of Zagreb
Faculty of Economics and Business
Department of Informatics

Institutional repository: REPEFZG

Cite this document

Pavelić, B. (2021). Artificial Intelligence in Finance (Master's thesis). Zagreb: University of Zagreb, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:148:866282

Pavelić, Borna. "Artificial Intelligence in Finance." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2021. https://urn.nsk.hr/urn:nbn:hr:148:866282

Pavelić, Borna. "Artificial Intelligence in Finance." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2021. https://urn.nsk.hr/urn:nbn:hr:148:866282

Pavelić, B. (2021). 'Artificial Intelligence in Finance', Master's thesis, University of Zagreb, Faculty of Economics and Business, accessed 26 June 2024, https://urn.nsk.hr/urn:nbn:hr:148:866282

Pavelić B. Artificial Intelligence in Finance [Master's thesis]. Zagreb: University of Zagreb, Faculty of Economics and Business; 2021 [cited 2024 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:148:866282

B. Pavelić, "Artificial Intelligence in Finance", Master's thesis, University of Zagreb, Faculty of Economics and Business, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:148:866282

Metadata
TitleArtificial Intelligence in Finance
AuthorBorna Pavelić
MentorMario Spremić (mentor)
Committee memberIvan Strugar (predsjednik povjerenstva)
Committee memberBožidar Jaković (član povjerenstva)
Committee memberMario Spremić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Economics and Business
(Department of Informatics)
Zagreb
Defense date and country2021-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
This Master Thesis has covered the topic of general constructive application of artificial intelligence in finance, and how can integration of this tool help in conducting finance operations from the most complex ones to the easiest ones. Also this Master Thesis has focused on machine learning programms and their application as well.
Keywords
Languageenglish
URN:NBNurn:nbn:hr:148:866282
Study programmeTitle: Business economics; specializations in: Marketing in english, Managerial informatics, Management, Marketing, Trade and international business, Leadership
Course: Managerial informatics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-10-04 09:54:30