Feature Learning

Feature learning is a process in machine learning where algorithms automatically identify the most important patterns or characteristics in data, such as images, text, or audio. Instead of humans manually specifying what to look for, the system learns relevant features directly from raw data, making it easier to perform tasks like classification or prediction. This approach helps models become more accurate and efficient, as they adaptively focus on the qualities that matter most for a given problem, ultimately enabling smarter and more flexible AI systems.