Feature Extraction
A process in machine learning where raw data is transformed into more meaningful and useful information by selecting, filtering, and reducing the dimensions of input data to identify relevant features that can be used to train machine learning models.
Areas of application
- Natural Language Processing
- Image Recognition
- Speech Recognition
- Recommendation Systems
- Anomaly Detection
- Predictive Maintenance
Example
For example, image recognition algorithms use feature extraction to identify and extract relevant features from images, such as edges, corners, and shapes, which are then used to train a model to recognize objects in the images.