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Title:
Značilnost okolja Kuberflow : diplomsko delo
Authors:
ID
Krasnič, Domen
(Author)
ID
Novak, Bojan
(Mentor)
More about this mentor...
Files:
VS_Krasnic_Domen_2021.pdf
(2,80 MB)
MD5: 95855DC1FA61599923C72B515036D9E2
PID:
20.500.12556/dkum/4b1fb7e4-688f-46ce-8f00-d10a9aa79a3f
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V današnjih modernih časih je vedno več podatkov, ki nam omogočajo lažje odločitve. Iz različnih podatkov pridobimo različne informacije in vzorce, pomembne za našo prihodnost. Zaradi vse večjih količin podatkov so se razvile številne rešitve za obravnavo le-teh. Ena izmed rešitev, ki se je razvila, je strojno učenje, ki ima sposobnost reševanja kompleksnih problemov z različnih področij. V diplomskem delu je predstavljeno Kubeflow okolje in tematika, tesno povezana z njim.
Keywords:
Kubeflow okolje
,
strojno učenje
,
Kubernetes
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[D. Krasnič]
Year of publishing:
2021
Number of pages:
VI, 43 str.
PID:
20.500.12556/DKUM-79996
UDC:
004.85(043.2)
COBISS.SI-ID:
90233603
Publication date in DKUM:
18.10.2021
Views:
1335
Downloads:
105
Metadata:
Categories:
KTFMB - FERI
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:
KRASNIČ, Domen, 2021,
Značilnost okolja Kuberflow : diplomsko delo
[online]. Bachelor’s thesis. Maribor : D. Krasnič. [Accessed 28 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=79996
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
25.08.2021
Secondary language
Language:
English
Title:
Kubeflow environment
Abstract:
In these modern times, there is more and more data to help us make better decisions. Different data provide different information and patterns that are relevant for our future. The increasing volume of data has led to the development of a number of solutions to deal with it. One solution that has been developed is machine learning, which has the ability to solve complex problems in a variety of fields. The thesis presents the Kubeflow environment and the topics closely related to this environment.
Keywords:
Kubeflow environment
,
machine learning
,
Kubernetes
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