Synthetic Media
Machine Learning
The creation of artificial data that mimics the statistical properties and patterns of real data.
Detailed Explanation
Synthetic Data Generation in machine learning involves creating artificial datasets that replicate the statistical characteristics and patterns of real data. This approach enhances model training by providing diverse, privacy-preserving data, especially when real data is scarce, sensitive, or costly to obtain. It enables improved model performance, robustness, and testing capabilities without compromising individual privacy.
Use Cases
- •Generate diverse training datasets for healthcare models while preserving patient privacy.
Related Terms
Other terms in the Machine Learning category