machine learning principles

Machine learning is a way computers learn from data to identify patterns and make predictions or decisions without being explicitly programmed for each task. It involves feeding the computer large amounts of information, allowing it to recognize similarities and differences. Over time, the system improves its accuracy by adjusting its internal models based on feedback. Think of it like teaching a child to recognize animals by showing many examples, so they learn to identify new ones on their own. This process enables applications like voice recognition, recommendations, and image analysis to become more effective and personalized.