What is AutoML (Automated Machine Learning)?
TL;DR
Technology that automates the machine learning model building process. Handles everything from data preprocessing to model selection and hyperparameter tuning.
AutoML (Automated Machine Learning): Definition & Explanation
AutoML (Automated Machine Learning) is a technology and set of tools that automates the end-to-end process of building machine learning models — data preprocessing, feature engineering, model selection, hyperparameter optimization, and ensemble methods. Tools like Google Cloud AutoML, H2O.ai, Auto-sklearn, AutoGluon, and Obviously AI enable building high-accuracy models without specialized ML expertise. AutoML has proven its effectiveness with top finishes in Kaggle competitions. However, human judgment remains important for domain-specific feature design and model interpretation.