Synthetic Data refers to artificial data generated by computer simulations or algorithms, designed to mimic real-world data. It's used when actual data is unavailable, limited, or needs augmentation for privacy reasons.
Applications of Synthetic Data
Synthetic data is crucial in training machine learning models where real data is scarce or sensitive. It helps in model validation, testing, and ensuring privacy preservation in sensitive applications like healthcare.
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