# Machine Learning

Machine learning is a way of building software that learns patterns from data rather than following only hand-written rules.

## Why it matters

Machine learning is useful when patterns can be learned from representative examples and evaluated on unseen data. It is less suitable when a simple deterministic rule is clearer, cheaper, and easier to verify.

## Example

A support team trains a classifier on reviewed historical tickets, validates it on a separate test set, and keeps policy-based routing rules for legally sensitive cases.

## FAQ

### What is Machine Learning in simple terms?

Machine learning is a way of building software that learns patterns from data rather than following only hand-written rules.

### Why does Machine Learning matter for teams using AI?

Machine learning is useful when patterns can be learned from representative examples and evaluated on unseen data. It is less suitable when a simple deterministic rule is clearer, cheaper, and easier to verify.

### What is a practical example of Machine Learning?

A support team trains a classifier on reviewed historical tickets, validates it on a separate test set, and keeps policy-based routing rules for legally sensitive cases.


Source: https://www.luffy.so/ai-glossary/machine-learning

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