| Autor: |
Fangxing Bai, Haiyan Bai, Randyll Pandohie, Xing Liu, Yuting Chen |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Journal of Methods and Measurement in the Social Sciences, Vol 13, Iss 1 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2159-7855 |
| DOI: |
10.2458/jmmss.5396 |
| Popis: |
Machine learning has become one of the important methods to process big data. It has made a breakthrough in the limitations of traditional statistical models dealing with high-dimensional data. The current study is to introduce and discuss about how machine learning method can be implemented in high-dimensional education data and help with increasing the model efficacy in dealing with high-dimensional education data. A demonstration of the implementation with an empirical data set is also provided. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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