Definition
The creation of artificial data that mimics the statistical properties and patterns of real data.
Detailed Explanation
Synthetic data generation uses various techniques including GANs, statistical modeling, and simulation to create artificial datasets that maintain the important characteristics of real data while avoiding privacy concerns and data collection costs.
Use Cases
Training autonomous vehicles with simulated scenarios, Creating diverse medical imaging datasets, Testing financial fraud detection systems