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undergraduate thesis
Primjena Bayesove vjerojatnosti u strojnom učenju
2023. urn:nbn:hr:289:823899
Radović, Mario
University of Applied Sciences in Information Technology

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Radović, M. (2023). Primjena Bayesove vjerojatnosti u strojnom učenju (Undergraduate thesis). Zagreb: University of Applied Sciences in Information Technology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:289:823899

Radović, Mario. "Primjena Bayesove vjerojatnosti u strojnom učenju." Undergraduate thesis, University of Applied Sciences in Information Technology, 2023. https://urn.nsk.hr/urn:nbn:hr:289:823899

Radović, Mario. "Primjena Bayesove vjerojatnosti u strojnom učenju." Undergraduate thesis, University of Applied Sciences in Information Technology, 2023. https://urn.nsk.hr/urn:nbn:hr:289:823899

Radović, M. (2023). 'Primjena Bayesove vjerojatnosti u strojnom učenju', Undergraduate thesis, University of Applied Sciences in Information Technology, accessed 07 March 2025, https://urn.nsk.hr/urn:nbn:hr:289:823899

Radović M. Primjena Bayesove vjerojatnosti u strojnom učenju [Undergraduate thesis]. Zagreb: University of Applied Sciences in Information Technology; 2023 [cited 2025 March 07] Available at: https://urn.nsk.hr/urn:nbn:hr:289:823899

M. Radović, "Primjena Bayesove vjerojatnosti u strojnom učenju", Undergraduate thesis, University of Applied Sciences in Information Technology, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:289:823899

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Metadata
TitlePrimjena Bayesove vjerojatnosti u strojnom učenju
Title (english)Application of Bayesian Probability in Machine Learning
AuthorMario Radović
MentorDalibor Bužić (mentor)
Committee memberMarijan Čančarević (predsjednik povjerenstva)
Committee memberDragana Čulina (član povjerenstva)
GranterUniversity of Applied Sciences in Information Technology
Zagreb
Defense date and country2023-01-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom završnom radu obrađena je tema upotreba Bayesove vjerojatnosti u strojnom učenju i njezina primjena. Završni rad podijeljen je u tri dijela. Prvi dio završnog rada je teorijski dio koji prolazi kroz osnove Bayesa i distribucije. Drugi dio završnog rada posvećen je obradi prirodnog jezika i njezinim modelima za rješavanje zadataka. Prvi i drugi dio završnog rada su uvod i potrebne osnove znanja kako bi se pristupilo rješavanju zadatka praktičnim dijelom. Treći dio je praktični dio i on je najvažniji u ovom radu. Praktični dio završnog rada obrađuje samu problematiku klasificiranja skupa podataka. Korištene su tehnike naivnog Bayesovog klasifikatora i BERT klasifikacije, te je napravljena njihova usporedba u ovom konkretnom zadatku.
Abstract (english)
In this final thesis it is discussed about Bayesian probability in machine learning and it's application. The final work is divided into three parts. The first part of the final work is the theoretical part that goes through the basics of Bayes and distribution. The second part of the final work is devoted to natural language processing and its models for solving tasks. The first and second parts of the final work are an introduction and the necessary knowledge bases in order to approach solving the task with the practical part. The third part is the practical part and it is the most important in this work. The practical part of the final work deals with the issue of classifying the data set. Naive Bayes classifier and BERT classification techniques were used and their comparison was made in this specific task.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:289:823899
Study programmeTitle: INFORMATION TECHNOLOGY
Study programme type: professional
Study level: undergraduate
Academic / professional title: prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka informacijskih tehnologija (prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka informacijskih tehnologija)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2025-03-07 18:12:00