Data Scarcity

Synthetic Data for Machine Learning: How Statistical Models, VAEs and GANs Tackle Privacy and Scarcity

Synthetic data offers a solution for machine learning when real data is scarce or sensitive, enabling model training by generating artificial records that mimic real data's statistical properties. The article explores key generation techniques like statistical models, VAEs, and GANs, detailing their trade-offs in privacy, utility, and practical application.