Synthetic Data Generation
Synthetic Data Generation involves the creation of artificial data that mimics real data patterns and characteristics. This process typically utilizes algorithms and statistical models to generate data points that closely resemble actual data without compromising privacy or security. Synthetic data is often used for testing, training machine learning models, and conducting data analysis without the risk of exposing sensitive information.
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