Machine Learning for Synthetic Data Generation:A Review

The paper reviews the use of machine learning for synthetic data generation, addressing challenges like data scarcity, quality, and privacy. It highlights applications in domains such as healthcare, computer vision, and NLP, focusing on generative models and neural networks. Privacy and fairness issues are discussed, alongside opportunities for future research in synthetic data's role in AI testing and development.

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Machine Learning for Synthetic Data Generation: A Review