Automated Machine Learning (AutoML) streamlines model creation, enabling non-experts to use ML tools while boosting productivity for skilled data scientists by automating routine tasks.
AutoML components include data preprocessing, feature engineering, model selection, hyperparameter optimization, evaluation, and model deployment, making machine learning accessible to a wider audience.
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