What is AutoML?

AutoML, or Automated Machine Learning, refers to the process of automating the end-to-end tasks of applying machine learning to real-world problems. This includes steps like data preprocessing, feature selection, algorithm selection, and hyperparameter tuning. AutoML tools are designed to make machine learning more accessible to non-experts and to improve efficiency for experts by reducing the manual effort and expertise needed to build effective models. Popular AutoML platforms include Google Cloud AutoML, H2O AutoML, and Auto-sklearn.