AutoML Tool

AutoML tools automate the process of building machine learning models, aiming to make this powerful technology accessible to non-experts and improve efficiency for experts. Current research focuses on enhancing usability, particularly for multimodal data (combining image, text, and tabular data) and addressing fairness concerns in model development. These tools employ various algorithms, including tree-based models, evolutionary algorithms for feature preprocessing, and meta-learning approaches to optimize hyperparameter searches, ultimately impacting both the speed and accessibility of machine learning across diverse scientific and industrial applications.