Understanding Features in Machine Learning

Features in machine learning refer to measurable inputs that can be used for prediction, similar to dimensions like age or height. While the terms 'feature' and 'dimension' are sometimes used interchangeably, 'feature' is often associated with supervised learning, especially in neural network approaches where features may vary per layer. Feature engineering involves transforming and optimizing training data to learn specific attributes, providing new variables for supervised and unsupervised learning.