6.3 · Lesson 3 of 3
Machine learning
Syllabus 6.3.3
What this lesson covers
- Describe expert systems and machine learning
Key vocabulary
- Supervised learning
- Machine learning using labelled training data.
- Unsupervised learning
- Machine learning that finds patterns in unlabelled data by itself.
- Machine learning
- When a program can automatically adapt its own processes and/or data.
- Training data
- Labelled examples that a program uses to learn patterns.
- Pattern
- A regular feature in the data that can be used to make a rule.
- Weighting
- How important each property is when the program makes a decision.
- Bias
- When training data isn't fair or complete, leading to unfair decisions.
Check your learning
- Quick check: 4 questions
- Key vocabulary test: 7 terms
- Activity 1: Machine learning · 8 questions
- Activity 2: Machine learning quiz · 8 questions
- Activity 3: How machine learning works · drag and drop