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AutoML

AutoML

AutoML is a superset of automated feature generation and hyperparameter tuning and optimization that employs a variety of techniques to identify useful features and the best models and model architectures. In the case of relatively simple ML problems (e.g. classification and regression on tabular data), AutoML tools iteratively generate features and apply and optimize appropriate models and compare them against one another until a winner is found. For more involved problems such as deep learning, complex techniques such as neural architecture search and neuroevolution may be employed.

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