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A gépi tanulás módszereinek alkalmazása R-ben.

Authors :
Tamás, Nyitrai
Source :
Hungarian Statistical Review / Statisztikai Szemle. Feb2021, Vol. 99 Issue 2, p173-198. 26p.
Publication Year :
2021

Abstract

Due to technological advances, personal computers have made the application of machine learning methods characterised by high computational requirements, possible. In line with this, significant progress has been made in the functionality of open source statistical and data analysis software. In spite of these favourable processes, the number of Hungarian studies using machine learning methods lags behind that of articles published in the international literature. One possible reason for this may be that machine learning-based modelling requires a high level of programming skills. The aim of this article is to overcome this difficulty by presenting such an R package that allows model development using machine learning, without prior programming knowledge. [ABSTRACT FROM AUTHOR]

Details

Language :
Hungarian
ISSN :
00390690
Volume :
99
Issue :
2
Database :
Academic Search Index
Journal :
Hungarian Statistical Review / Statisztikai Szemle
Publication Type :
Academic Journal
Accession number :
149482587
Full Text :
https://doi.org/10.20311/stat2021.2.hu0173