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Cooking up synthetic data with Gretel

Practical AI

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Exploring Synthetic Data Generation

This chapter examines the generation of synthetic data as a privacy-preserving method that mimics real datasets while preventing re-identification. It highlights practical applications, the role of machine learning, and the challenges associated with data anonymization and balancing datasets.

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