Feature Engineering | Vibepedia

Feature engineering involves creating new features from existing ones, selecting the most relevant features, and transforming them into a suitable format for modeling. Dimensionless numbers, such as the Reynolds number, the Nusselt number, and the Archimedes number, are used to describe complex phenomena in physics. Feature engineering is used to extract relevant features from text data in natural language processing and from image data in computer vision. Deep learning techniques, including convolutional neural networks and recurrent neural networks, are used to extract relevant features from data.