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undergraduate thesis
Strojno učenje u natjecateljskom e-sportu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:999466
Glavinović, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Glavinović, I. (2019). Strojno učenje u natjecateljskom e-sportu (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:999466

Glavinović, Ivan. "Strojno učenje u natjecateljskom e-sportu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:999466

Glavinović, Ivan. "Strojno učenje u natjecateljskom e-sportu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:999466

Glavinović, I. (2019). 'Strojno učenje u natjecateljskom e-sportu', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:999466

Glavinović I. Strojno učenje u natjecateljskom e-sportu [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:999466

I. Glavinović, "Strojno učenje u natjecateljskom e-sportu", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:999466

Metadata
TitleStrojno učenje u natjecateljskom e-sportu
Title (english)Machine Learning in Esports
AuthorIvan Glavinović
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberHrvoje Nuić (član povjerenstva)
Committee memberIgor Stančin (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Pogađanje rezultata eSports utakmica u igri League of Legends korištenjem knjižnice XGBoost, uz analizu fenomena grude te važnosti pojedinih značajki; Objašnjenje strukture natjecanja u profesionalnom League of Legendsu. Oblikovanje seta za učenje i klasifikatora, kao i hiperparametara za najbolji mogući rezultat učenja.
Abstract (english)
Guessing outcomes of eSports matches in the game League of Legends using the library XGBoost, with analysis of the snowball phenomenon and feature importance; clarification of the structure of competition in professional League of Legends. Shaping of the learning set and classifier, as well as hyperparameters for best possible results of learning.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:999466
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 on2020-01-07 18:07:11