Feature Extraction
Feature extraction involves the process of taking raw data and transforming it into a set of features that are more informative and easier to analyze. This process typically involves selecting, combining, and transforming variables in order to highlight important patterns or characteristics within the data. Feature extraction is commonly used in various fields such as image processing, natural language processing, and machine learning to improve the performance of algorithms and models.