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Synthetic Data Generation

[sɪnˈθɛtɪk ˈdeɪtə ˌdʒɛnəˈreɪʃən]
Machine Learning
Last updated: December 9, 2024

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

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