Razvoj inteligentne rešitve za vrednotenje vozil z uporabo strojnega učenja : magistrsko delo

Žele, David

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Title:	Razvoj inteligentne rešitve za vrednotenje vozil z uporabo strojnega učenja : magistrsko delo
Authors:	ID Žele, David (Author) ID Podgorelec, David (Mentor) More about this mentor...
Files:	MAG_Zele_David_2022.pdf (2,38 MB) MD5: F910CD4460A4EFA37A87C8CEA753824A
Language:	Slovenian
Work type:	Master's thesis/paper
Typology:	2.09 - Master's Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	Eden izmed ključnih problemov hitrega razvoja inteligentnih rešitev je v tem, kako čim bolj sistematično, avtomatizirano in nadzorovano optimizirati razvojni proces. Željen je čim manjši vpliv hitro vpeljanih sprememb v podatkih ali programski kodi na samo končno rešitev in sledenje vpliva sprememb. Namen magistrskega dela je predvsem vpeljati inženirski pristop ML Ops, ki v veliki meri avtomatizira korake v razvoju programske rešitve, in ga preizkusiti na primeru razvoja inteligentne rešitve za vrednotenje vozil z uporabo strojnega učenja in podatkov s spletnih strani z rabljenimi vozili. Končni rezultati, da je razvojni proces po vpeljavi ML Ops bolj organiziran ter v veliki meri razbremeni sodelujoče na projektu, ne presenečajo, preseneča pa medsebojna kompatibilnost izbranih orodij, ki smo jih izbrali za naš projekt, ter sama pripravljenost na vpeljavo koncepta.
Keywords:	inteligentna rešitev, vrednotenje vozil, strojno učenje
Place of publishing:	Maribor
Place of performance:	Maribor
Publisher:	[D. Žele]
Year of publishing:	2022
Number of pages:	1 spletni vir (1 datoteka PDF (XII, 68 f.))
PID:	20.500.12556/DKUM-83150
UDC:	004.85:004.413043.2)
COBISS.SI-ID:	146410243
Publication date in DKUM:	07.11.2022
Views:	835
Downloads:	112
Metadata:
Categories:	KTFMB - FERI
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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:	26.09.2022

Secondary language

Language:	English
Title:	Development of an intelligent solution for vehicle evaluation using machine learning
Abstract:	One of the key problems of rapid development of intelligent solutions is the problem of how to optimize the development process as systematically, automatically and controlled as possible. It is desired to have as little impact as possible when changes are rapidly introduced in data or program code and to track the impact of changes. The purpose of the master's work is primarily to introduce the ML Ops engineering approach, which largely automates the steps in the development of a software solution, and to test it on the example of the development of an intelligent solution for the evaluation of vehicles using machine learning and data from websites with used vehicles. The results, that the development process after the implementation of ML Ops was managed in a more organized manner and to a large extent relieves the project participants, are not surprising, but the mutual compatibility of the selected tools that we have chosen for our project and the readiness to introduce the concept, are quite surprising.
Keywords:	intelligent systems, vehicle evaluation, machine learning

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