What does "training" mean in the context of Machine Learning?

Training is the process of teaching a machine learning algorithm by showing it many examples so it can learn to make accurate predictions on new data.\n\n• Process: Algorithm analyzes historical data to find patterns\n• Learning: Adjusts internal parameters to improve accuracy\n• Validation: Tests performance on unseen data\n• Iteration: Repeats process until satisfactory performance achieved\n\nExample: Training a spam filter involves showing it thousands of emails labeled as spam/not spam. The algorithm learns features that distinguish spam (suspicious links, certain words) and applies this knowledge to classify new emails.