← Back
ConceptsBeginner1959

Machine Learning

Machine Learning

Machine learning is a way for computers to learn patterns from examples instead of being given every rule.

Explained simply

Machine learning is a way for computers to learn patterns from examples instead of being given every rule.

1Examples
2Learn patterns
3New input
4Prediction

At a glance

Category
Concepts
Difficulty
Beginner
Introduced
1959

Real example

A system studies past sales and learns patterns to forecast next month’s demand.

Why it matters

It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.

Timeline

Origins

The ideas behind Machine Learning begin developing.

1959

Machine Learning becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

Machine Learning becomes connected to newer AI systems and products.

Today

Machine Learning remains relevant in the concepts area of AI.

Dates for broad concepts may describe the period when the idea emerged or became widely used, rather than one exact invention date.

Learn next

Simple infographic

A quick visual way to understand Machine Learning.

1Examples
2Learn patterns
3New input
4Prediction
1 of 6

Was this helpful?

Your feedback helps improve this explanation.