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Data Quality

Data validation for NLP machine learning applications

Data quality series: Find label issues with confident learning for NLP Data validation for NLP machine learning applications   An important part of machine learning applications, is making sure that the data quality is not degenerating while a model is… Continue Reading →

Find label issues with confident learning for NLP

In every machine learning project, the training data is the most valuable part of your system. In this article I introduce you to confident learning to find potentially erroneously labeled examples in your training data.

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