Learning Algorithms

Learning algorithms are processes that enable computers to identify patterns and make decisions based on data. They analyze large amounts of information, learn from it, and then improve their performance over time without being explicitly programmed for every situation. Think of them as systems that adapt and refine their understanding, much like how humans learn from experience. Common examples include recommendations on streaming services, spam filters in email, and voice recognition. Overall, their goal is to enable machines to perform tasks intelligently by learning from data rather than relying solely on fixed rules.