synthetic data generation
Synthetic data generation refers to the process of creating artificial data that closely resembles real-world data, while still protecting individual privacy. This technique involves using statistical modeling or machine learning algorithms to generate realistic data that can be used for various purposes, such as training machine learning models or conducting data analysis, without exposing sensitive or private information.
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