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In recent years, machine learning has made great contributions in various fields. However, an efficient machine learning algorithm often relies on human guidance, such as data processing, feature engineering, algorithm selection and super parameter selection. As machine learning algorithms become more and more complex, there are more and more optional algorithms and processes. In order to save time and labor costs and improve accuracy, automatic machine learning (auto m) is born.
This article will be introduced from the following four aspects.
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