prikaz prve stranice dokumenta Napredni algoritmi stabala odluke
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undergraduate thesis
Napredni algoritmi stabala odluke
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:558281
Prpić, Ante
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Prpić, A. (2019). Napredni algoritmi stabala odluke (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:558281

Prpić, Ante. "Napredni algoritmi stabala odluke." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:558281

Prpić, Ante. "Napredni algoritmi stabala odluke." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:558281

Prpić, A. (2019). 'Napredni algoritmi stabala odluke', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:558281

Prpić A. Napredni algoritmi stabala odluke [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 July 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:558281

A. Prpić, "Napredni algoritmi stabala odluke", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:558281

Metadata
TitleNapredni algoritmi stabala odluke
Title (english)Decision Trees
AuthorAnte Prpić
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberIgor Stančin (član povjerenstva)
Committee memberIvan Grubišić (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
Upoznavanje s problemima strojnog učenja rješivim implementacijama naprednim algoritmima stabala odluka, poput pojačivačke biblioteke XGBoost koja na temelju procjena slabih modela donosi zaključke uzimajući u obzir bitne značajke skupa podataka gradeći dobar model koji precizno rješava probleme klasifikacije i regresije.
Abstract (english)
An overview of advanced decision trees boosting algorithms like XGBoost used for solving machine learning problems like classification and regression combining sets of weak classifiers while trying to build an improved, strong model that precisely addresses classification and regression problems.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:558281
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 21:36:48