Ajとくちょうちゅうしゅつ
- feature extraction
podstatné meno
Vygenerované: This term refers to the process of transforming raw data into a format that is suitable for analysis by removing unnecessary features and highlighting essential characteristics. It is commonly used in various fields such as machine learning, image processing, and data analysis.
In data analysis, feature extraction is a very important process.