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What is AutoML Data? AutoML Data, short for Automated Machine Learning Data, encompasses the datasets and associated metadata used to automate the process of building, training, and deploying machine learning models. AutoML platforms utilize this data to automatically select and optimize machine learning algorithms, preprocess data, and tune hyperparameters, allowing users to create accurate models without extensive manual intervention. AutoML Data is essential for streamlining the machine learning workflow, reducing the barrier to entry for non-experts, and accelerating the development of AI-driven solutions across various domains.
