Synthetic data refers to artificially generated data that mimics the characteristics of real-world data, used to train and test machine learning models, validate algorithms, and augment limited datasets. As data-driven technologies continue to advance, synthetic data has become increasingly relevant in the tech community, enabling researchers and developers to overcome data scarcity, ensure data privacy, and accelerate innovation in fields like computer vision, natural language processing, and healthcare, ultimately driving breakthroughs in AI and data science.
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19 stories tagged with synthetic data