AI Constitution

Resources · Learning tool

Education Concept Tracker

A prerequisite knowledge graph of 1590 learning concepts across 8subjects. Track what you've mastered and see exactly what you're ready to learn next — the topics whose prerequisites you've already met. Built on the Marble Open Skill Taxonomy.

Sign in to track your progress and get personalized recommendations. You can browse freely below.

Knowledge-graph map

Computing
Mastered Ready to learn LockedHover a node for its description · click to open
← Back

Patterns and Classification

Computing · Artificial Intelligence · conceptual

Humans are great at spotting patterns; computers can learn to spot patterns too, but they need lots of examples; sorting and classification activities as the basis of machine learning

What mastery looks like

  • Sort a set of items into categories and explain the rules they used
  • Explain that computers learn patterns by looking at many examples
  • Describe why a computer needs more examples than a human to learn the same pattern

Check your understanding

If you showed Patterns and Classification pictures of cats and dogs, could they explain how a computer could learn to tell them apart — and why it would need many more pictures than a person would?