prikaz prve stranice dokumenta Modeli slučajnih šuma i primjene
  Download
PDF 947.86 KB
master's thesis
Modeli slučajnih šuma i primjene
Zagreb: University of Zagreb, Faculty of Science, 2020. urn:nbn:hr:217:615581
Čular, Marko
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Čular, M. (2020). Modeli slučajnih šuma i primjene (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:615581

Čular, Marko. "Modeli slučajnih šuma i primjene." Master's thesis, University of Zagreb, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:217:615581

Čular, Marko. "Modeli slučajnih šuma i primjene." Master's thesis, University of Zagreb, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:217:615581

Čular, M. (2020). 'Modeli slučajnih šuma i primjene', Master's thesis, University of Zagreb, Faculty of Science, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:217:615581

Čular M. Modeli slučajnih šuma i primjene [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2020 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:217:615581

M. Čular, "Modeli slučajnih šuma i primjene", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:217:615581

Metadata
TitleModeli slučajnih šuma i primjene
AuthorMarko Čular
MentorSiniša Slijepčević (mentor)
Committee memberSiniša Slijepčević (predsjednik povjerenstva)
Committee memberHrvoje Šikić (član povjerenstva)
Committee memberIvica Nakić (član povjerenstva)
Committee memberMaja Resman (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2020-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
U ovome radu glavni predmet proučavanja bila je primjena modela slučajnih šuma u svakodnevnom života, točnije u računanju kreditnog rizika u bankama. U početnom dijelu rada pobliže smo upoznali čitatelja s jednostavnom i višestrukom linearnom regresijom. U nastavku rada donijeli smo pregled razvoja strojnog učenja te pojasnili istoimeni pojam. Zatim smo detaljno opisali pojam stabla odluke i kako se ono razvija te smo njegov model prikazali na primjeru i vizualno radi lakšeg shvaćanja napisanog. Slijedilo je poglavlje posvećeno teorijskoj obradi modela slučajnih šuma i njihovoj primjeni u bankarstvu. Radi lakše interpretacije podaci su prikazani kroz histograme i tablice. Za kraj rada donesi su zaključci o radu algoritma i mogućnosti njegove implementacije u bankarski sustav.
Abstract (english)
In this paper, the main subject of study was application of the model of random forests in everyday life, more precisely in the calculation of credit risk in banks. In the initial part of the paper, we introduced the reader to simple and multiple linear regression. In the continuation of the paper, we provide an overview of the development of machine learning and clarify the concept of them. Then we minutely described the concept of the decision tree and how it develops, and we presented its model on an example and visually to make it easier to understand what is written. This was followed by a chapter dedicated to the theoretical processing of random forest models and their application in banking. For easier interpretation, the data are presented through histograms and tables. At the end of the paper, conclusions were made about the operation of the algorithm and the possibility of its implementation in the banking system.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:615581
Study programmeTitle: Mathematics Education; specializations in: Mathematics Education
Course: Mathematics Education
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije matematike (magistar/magistra edukacije matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-12-08 11:05:52