Synthetic data generation

The process involves creating artificial data using algorithms to replicate real-world data characteristics. It is valuable in fields such as machine learning and data analysis for training models, testing systems, and ensuring privacy protection. This method is particularly beneficial for data scientists and organizations that require large datasets without compromising sensitive information.