Automated machine learning (AutoML) is revolutionizing the field of machine learning by saving time and resources. AutoML involves automating the end-to-end process of applying machine learning to real-world problems, including tasks such as feature engineering, model selection, hyperparameter tuning, and even model deployment. By automating these traditionally manual and time-consuming tasks, AutoML platforms and tools enable practitioners to quickly iterate through different models and configurations, accelerating the model development process and saving valuable time and resources. This makes machine learning more accessible to a broader audience and allows experts to focus on higher-level aspects of problem-solving and model interpretation.