Exam-ready notes, structured around past questions.
Every subject is split into modules and topics, analysed against previous years' papers, and written so you can memorise it the night before.
Module 1 · Free
Supervised vs Unsupervised Learning
- 5 marks
- Asked in [X] of the last [Y] papers
Supervised learning learns from labelled data; unsupervised learning finds structure in unlabelled data.
- Data: labelled (x, y) pairs vs unlabelled x.
- Algorithms: linear regression, SVM vs k-means, PCA.
- Use: spam detection vs customer segmentation.
Supervised = learning with answers. Unsupervised = finding groups.
Past questions for this module