Learning From High-Cardinality Categorical Features in Deep Neural Networks
Some machine learning algorithms expect the input variables and the output variables to be numeric. Therefore, in an early stage of modelling, feature engineering is required when categorical variables present in the dataset. As a result, we must encode those attributes into an appropriate feature v...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Çanakkale Onsekiz Mart University
2022-06-01
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| Series: | Journal of Advanced Research in Natural and Applied Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/2045221 |
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