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Cooking up synthetic data with Gretel

Practical AI

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Balancing Utility and Privacy in Synthetic Data Generation

This chapter explores the challenges faced in generating synthetic data, focusing on the balance between utility and privacy. It emphasizes the need for accessible tools for engineers and advocates for collaboration across disciplines to enhance innovation in AI and machine learning.

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