Machine Learning
Automated Machine Learning (AutoML)
A process that automates the end-to-end process of applying machine learning to real-world problems.
Expanded definition
Automated Machine Learning (AutoML) simplifies the deployment of machine learning models by automating tasks such as data preprocessing, model selection, and hyperparameter tuning. This allows users, even those with limited machine learning expertise, to leverage powerful algorithms for practical applications. By streamlining the workflow, AutoML enhances accessibility and efficiency in the development of machine learning solutions.
Related terms
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