20.500.12556/DKUM-90447 Samodejno strojno učenje znotraj relacijske podatkovne baze PostgreSQL Automated Machine Learning within the PostgreSQL Relational Database V diplomskem delu smo predstavili in raziskovali uporabnost integracije samodejnega strojnega učenja znotraj relacijske podatkovne baze PostgresSQL. Osredotočili smo se na primerjavo dveh odprtokodnih orodij, ki to integracijo omogočata, in sicer MindsDB in PostgresML, kateri smo primerjali na praktičnem primeru prodaje vozil. Prikazali smo celoten postopek namestitve, povezovanje s podatkovno bazo in uporabo obeh orodij za gradnjo modela strojnega učenja. Raziskali smo glavne razlike med obema orodjema in na koncu predstavili prednosti in slabosti ter ugotovitve primerjave. In the thesis, we presented and explored the usability of integrating automated machine learning within the PostgreSQL realtional database. Our main focus was on comparing two open-source tools that enable this integration, namely MindsDB in PostgresML, both of which we compared on a practical example of vehicle sales. We demonstrated the entire process of installation, connection to the database, and the use of both tools for building a machine learning model. We examined the main differences between the two tools and, in the end, presented the advantages and disadvantages as well as the findings of the comparison. strojno učenje samodejno strojno učenje strojno učenje znotraj relacijskih podatkovnih baz MindsDB PostgresML machine learning automated machine learning machine learning within a relational database MindsDB PostgresML true true false [A. Šek] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2024-09-04 00:28:24 2024-12-23 08:41:05 2025-01-07 11:29:44 0000-00-00 00:00:00 2024 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.85:004.652.4(043.2) 221162499 VS_Sek_Aljaz_2024.pdf VS_Sek_Aljaz_2024.pdf 1 296A6D50EC6FC5009B5DE1291FDD967B d12ded2e10033ece1a86393cf660bc1f34b555f379a9a7f824f51ad4a038fc19 a83b5e52-768a-11ef-aec7-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=185487 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0