| Supervised learning: Supervised learning is a machine learning paradigm where a model is trained on labeled data, consisting of input-output pairs. It learns to make predictions or decisions based on this labeled data, aiming to generalize to unseen examples accurately. Applications are Image recognition, Natural language processing, Spam filtering, Fraud detection, Recommendation systems. See also Machine Learning, Artificial Intelligence, Learning, Data, Predictions, Induction, Generalization._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. |
