Learning from labeled data (input-output pairs).
Algorithms: Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVMs).
Applications: Spam detection, medical diagnosis, fraud detection.
Sub Tracks:
Regression
Classification
Sequence Prediction
Anomaly Detection