Representational Learning

Representational learning is a process used by machines to automatically discover useful features or patterns from raw data, such as images, text, or sounds. Instead of programming explicit rules, the system learns to transform complex data into simpler, meaningful representations that capture essential information. These representations help the machine perform tasks like recognizing objects, understanding language, or detecting anomalies more effectively. Essentially, it allows computers to find and use useful "summaries" of data, enabling smarter and more adaptable algorithms without detailed manual instructions.