Machine Learning (ML)
Machine learning (ML) is the branch of artificial intelligence in which a system learns patterns from data and improves at a task without being explicitly programmed with rules. Instead of a developer coding every case, the model is trained on examples and then generalises to new, unseen data.
In logistics, ML powers demand forecasting, ETA prediction, document extraction, anomaly detection and optimisation. Its accuracy depends first on the quality and connectedness of the data it learns from.
Diagram
Data
Train model
Predict
Learn & improve
A model learns from historical data, makes predictions, and improves as it sees more.
Also known as
MLStatistical Learning
Related terms
Where this matters at WHIZTEC
Frequently asked
What is the difference between AI and machine learning?
AI is the broad goal of making machines act intelligently; machine learning is the most common technique to get there — learning patterns from data rather than following hand-coded rules.