prikaz prve stranice dokumenta AutoML
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master's thesis
AutoML
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 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

Institutional repository: Faculty of Organization and Informatics - Digital Repository

Cite this document

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

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

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

Barberić, L. (2024). 'AutoML', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 02 September 2024, https://urn.nsk.hr/urn:nbn:hr:211:740888

Barberić L. AutoML [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2024 [cited 2024 September 02] Available at: https://urn.nsk.hr/urn:nbn:hr:211:740888

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

Metadata
TitleAutoML
Title (english)AutoML
AuthorLuka Barberić
MentorMarkus Schatten (mentor)
MBZ: 291806
Committee memberBogdan Okreša Đurić (član povjerenstva)
MBZ: 367114
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Theoretical and Applied Foundations of Information Sciences)
Varaždin
Defense date and country2024-07-09, 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
Languagecroatian
URN:NBNurn:nbn:hr:211:740888
Study programmeTitle: Business Systems Organization
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2024-07-15 04:01:20