Automatic Machine Learning (AutoML)

AutoML, or Automated Machine Learning, is a process that simplifies building machine learning models by automating complex tasks. Instead of manually selecting and tuning algorithms, AutoML software tests various algorithms, features, and parameters quickly to find the best solution for a specific problem. This speeds up model development, reduces the need for expert intervention, and often improves performance. Essentially, AutoML makes machine learning more accessible and efficient, allowing businesses and researchers to focus on applying insights rather than the technical details of model creation.