AI and Business
Feature extraction is the process of transforming raw data into a set of measurable properties or characteristics that can be effectively used in machine learning models. This step is crucial because it reduces the dimensionality of data, enhancing the efficiency of analysis while retaining the essential information needed for predictive modeling. The quality of extracted features significantly influences the performance of algorithms in various applications, making it a foundational aspect of data processing in several fields.
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