What is AutoML?

AutoML, or Automated Machine Learning, is the process of automating the tasks of applying machine learning to real-world problems. It typically covers the complete pipeline from the raw dataset to the deployable machine learning model. This includes tasks such as data preprocessing, feature engineering, model selection, hyperparameter optimization, and model validation. AutoML aims to make machine learning more accessible to non-experts and to improve the efficiency of machine learning processes.