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master's thesis
Usvajanje osnovnih algoritama strojnog učenja
2020. urn:nbn:hr:166:167993
Bašić, Alen
University of Split
University of Split, Faculty of science
Department of Informatics

Cite this document

Bašić, A. (2020). Usvajanje osnovnih algoritama strojnog učenja (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:167993

Bašić, Alen. "Usvajanje osnovnih algoritama strojnog učenja." Master's thesis, University of Split, University of Split, Faculty of science, 2020. https://urn.nsk.hr/urn:nbn:hr:166:167993

Bašić, Alen. "Usvajanje osnovnih algoritama strojnog učenja." Master's thesis, University of Split, University of Split, Faculty of science, 2020. https://urn.nsk.hr/urn:nbn:hr:166:167993

Bašić, A. (2020). 'Usvajanje osnovnih algoritama strojnog učenja', Master's thesis, University of Split, University of Split, Faculty of science, accessed 19 May 2022, https://urn.nsk.hr/urn:nbn:hr:166:167993

Bašić A. Usvajanje osnovnih algoritama strojnog učenja [Master's thesis]. Split: University of Split, University of Split, Faculty of science; 2020 [cited 2022 May 19] Available at: https://urn.nsk.hr/urn:nbn:hr:166:167993

A. Bašić, "Usvajanje osnovnih algoritama strojnog učenja", Master's thesis, University of Split, University of Split, Faculty of science, Split, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:166:167993

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Metadata
TitleUsvajanje osnovnih algoritama strojnog učenja
Title (english)Mastering basic machine learning algorithms
AuthorAlen Bašić
MentorSaša Mladenović (mentor)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberGoran Zaharija (član povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
GranterUniversity of Split
University of Split, Faculty of science
(Department of Informatics)
Split
Defense date and country2020-09-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tržište rada na području tehnologije se mijenja iz dana u dan. Samim time poslodavci traže ljude koji su spremni za razne vrste učenja, pretežito samoučenje, i rad na sebi. Isto tako, industrija se često razlikuje od sadržaja koji se obrađuje u obrazovnim ustanovama. Samim time ljudi su prisiljeni na samoučenje. Jedno od područja koje definitivno zahtijeva samoučenje je strojno učenje koje u zadnjih nekoliko godina jako brzo raste. Samoučenje se može izvoditi na razne načine, međutim najpopularniji su online tečajevi.
Abstract (english)
Technology is changing everyday, so employers in this field are searching for people who are ready for self-learning and who are willing to improve. Also, work in industry often differs from knowledge gained during education in educational istintutions. With that in mind, people are forced to practice self-learning. Machine learning field definitely requires self-learning skills. Self-learning can bed one in various ways but online tutorials are most popular.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:167993
Study programmeTitle: Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informatike (magistar/magistra edukacije informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-01-13 16:48:47