AutoML

Automated Machine Learning (AutoML) is the process of automating the end-to-end process of applying machine learning to real-world problems, including data preprocessing, feature engineering, model selection, and hyperparameter tuning. It aims to make machine learning more accessible to non-experts and accelerate the development of machine learning models by automating repetitive tasks and decision-making processes. Readers can explore how AutoML platforms and tools, such as Google Cloud AutoML and H2O.ai, democratize machine learning and empower organizations to build predictive models and solve complex problems with minimal manual intervention.