In short
Machine learning (ML) is a branch of AI in which models learn patterns from historical data and make predictions on new data without being explicitly programmed.
Regression, classification, clustering and anomaly detection are the most common ML tasks. Quality prediction, failure prediction and demand forecasting are typical manufacturing examples.
An ML model's success depends on the quality of its training data and on monitoring it in production and retraining it regularly (see MLOps).