A Review of Implementation and Obstacles in Predictive Machine Learning Model at Educational Institutions

A Review of Implementation and Obstacles in Predictive Machine Learning Model at Educational Institutions

Machine learning is a system that can learn by itself by using training data and testing data testing. In a variety of machine learning research has various obstacles in implementation especially in education institution, in its application, many things need to considered for more information to enr...

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Veröffentlicht in:Journal of physics. Conference series 2020-03, Vol.1477 (3), p.32019
Hauptverfasser: Ranggadara, Indra, Sari, Yunita Sartika, Dwiasnati, Saruni, Prihandi, Ifan, Sfenrianto
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container_end_page
container_issue 3
container_start_page 32019
container_title Journal of physics. Conference series
container_volume 1477
creator Ranggadara, Indra
Sari, Yunita Sartika
Dwiasnati, Saruni
Prihandi, Ifan
Sfenrianto
description Machine learning is a system that can learn by itself by using training data and testing data testing. In a variety of machine learning research has various obstacles in implementation especially in education institution, in its application, many things need to considered for more information to enrich research in the area of machine learning by way of comparing various obstacles in implementation in similar research. So that in this study is to find similarities and anticipations made in the initial stages of pre-processing to visualisation, as well as the contribution that can give in this study explains the best alternative for researching following the experience of several researchers in conducting machine learning research.
doi_str_mv 10.1088/1742-6596/1477/3/032019
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subjects Barriers
Machine learning
Physics
title A Review of Implementation and Obstacles in Predictive Machine Learning Model at Educational Institutions
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