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Synthetic Data Generation for Machine Learning Applications

In machine learning (ML) applications, synthetic data is generated to mimic the statistical properties of real data. This enables comprehensive model training, addresses data imbalances and scarcity, and enhances generalization capabilities. Using synthetic data also resolves privacy concerns by obscuring sensitive data points or...