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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.
