AutoML

Barberić, Luka

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master's thesis

6 3

AutoML

2024. urn:nbn:hr:211:740888

Barberić, Luka

University of Zagreb
Faculty of Organization and Informatics
Department of Theoretical and Applied Foundations of Information Sciences

Cite this document

APA 6th Edition

Barberić, L. (2024). AutoML (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:740888

MLA 8th Edition

Barberić, Luka. "AutoML." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:211:740888

Chicago 17th Edition

Barberić, Luka. "AutoML." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:211:740888

Harvard

Barberić, L. (2024). 'AutoML', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 04 April 2025, https://urn.nsk.hr/urn:nbn:hr:211:740888

Vancouver

Barberić L. AutoML [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2024 [cited 2025 April 04] Available at: https://urn.nsk.hr/urn:nbn:hr:211:740888

IEEE

L. Barberić, "AutoML", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:211:740888

Cite this item: https://urn.nsk.hr/urn:nbn:hr:211:740888

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Metadata

Title	AutoML
Title (english)	AutoML
Author	Luka Barberić
Mentor	Markus Schatten (mentor) MBZ: 291806
Committee member	Bogdan Okreša Đurić (član povjerenstva) MBZ: 367114
Granter	University of Zagreb Faculty of Organization and Informatics (Department of Theoretical and Applied Foundations of Information Sciences) Varaždin
Defense date and country	2024-07-09, Croatia
Scientific / art field, discipline and subdiscipline	SOCIAL SCIENCES Information and Communication Sciences Organization and Informatics
Abstract	Ovaj diplomski rad bavi se analizom i usporedbom različitih alata za automatsko strojno učenje (AutoML), s ciljem procjene njihove učinkovitosti u rješavanju zadataka klasifikacije i regresije.
Keywords
Language	croatian
URN:NBN	urn:nbn:hr:211:740888
Study programme	Title: Business Systems Organization Study programme type: university Study level: graduate Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resource	Text
File origin	Born digital
Access conditions	Access restricted to authenticated users
Terms of use
Created on	2024-07-15 04:01:20

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