Automated Machine Learning (AutoML)

Automated Machine Learning (AutoML) is a technology that simplifies the process of building machine learning models by automatically selecting, tuning, and optimizing algorithms and features. It allows users to create effective predictive models without in-depth expertise in data science or programming. AutoML streamlines tasks such as data preprocessing, model selection, and hyperparameter tuning, saving time and effort while maintaining high performance. Essentially, it makes advanced machine learning accessible and efficient, enabling organizations to leverage data-driven insights more readily.