Machine Learning
AutoML
Automated Machine Learning streamlines the process of applying machine learning to real-world problems.
Expanded definition
AutoML simplifies the machine learning workflow by automating tasks such as data preprocessing, feature selection, model selection, and hyperparameter tuning. This allows users, even those with limited data science expertise, to effectively deploy machine learning models without intensive manual intervention. By leveraging algorithms to optimize the model-building process, AutoML enhances efficiency and accessibility in machine learning applications.
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