Feature extraction is a methodological approach in data analysis and machine learning focused on transforming raw data into a reduced set of salient features. This process aims to capture the most informative and non-redundant aspects of the data, thereby reducing dimensionality and noise to facilitate more efficient and accurate subsequent analysis or modeling.