Obviously synthetic data can improve machine learning model training by providing more data and de-biasing datasets, but what other uses have people found for synthetic data when it comes to data science applications?
One use case for synthetic data is the ability to work on datasets that would otherwise contain PII.
One use case for synthetic data is the ability to work on datasets that would otherwise contain PII.