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undergraduate thesis
Pregled metoda strojnog učenja na platformi Apache Spark
2021. urn:nbn:hr:168:371390
Radelić, Nikola
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Radelić, N. (2021). Pregled metoda strojnog učenja na platformi Apache Spark (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:371390

Radelić, Nikola. "Pregled metoda strojnog učenja na platformi Apache Spark." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:371390

Radelić, Nikola. "Pregled metoda strojnog učenja na platformi Apache Spark." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:371390

Radelić, N. (2021). 'Pregled metoda strojnog učenja na platformi Apache Spark', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 March 2023, https://urn.nsk.hr/urn:nbn:hr:168:371390

Radelić N. Pregled metoda strojnog učenja na platformi Apache Spark [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2023 March 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:371390

N. Radelić, "Pregled metoda strojnog učenja na platformi Apache Spark", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:371390

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Metadata
TitlePregled metoda strojnog učenja na platformi Apache Spark
Title (english)An Overview of Machine Learning Methods in Apache Spark
AuthorNikola Radelić
MentorKrešimir Pripužić (mentor)
Committee memberKrešimir Pripužić (predsjednik povjerenstva)
Committee memberDamjan Katušić (član povjerenstva)
Committee memberJosip Marić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome završnom radu opisane su najčešće korištene metode strojnog učenja na platformi Apache Spark pomoću knjižnice MLlib. Opisana je platforma Apache Spark i njegove knjižnice. Cilj je bio pokazati na testnim primjerima neke od metoda za strojno učenje koje nudi knjižnica MLlib. Metode strojnog učenja koje su bile korištene su klasifikacija, regresija i kolaborativno filtriranje. Za klasifikaciju i regresiju su korištene više metoda i rezultati su bili uspoređeni. Opisane su sve skripte za pojedine metode strojnih učenja.
Abstract (english)
In this thesis, the most used machine learning methods on Apache Spark platform are described, including Mllib library. Apache Spark platform is described, along with all of the libraries. The goal was to show machine learning methods offered by MLlib library and test them with test data. Machine learning methods used were classification, regression and collaborative filtering. Multiple methods were used for classification and regression and their results were described and compared. All the scripts for the machine learning methods are described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:371390
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 on2023-01-14 09:46:46