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Feature Learning - What is the difference between feature learning and feature extraction?
Answer
The feature learning process differs from feature extraction in that the precise features to be retrieved from the data are not beforehand decided. Feature extraction entails converting raw data into a dataframe or a sequence of feature vectors for subsequent analysis.