Week 3 · 45-60 min
Types of Machine Learning
Week Summary
A quick preview of the main ideas in this week before you begin the slides.
- Supervised Learning Overview
- Unsupervised Learning Overview (Conceptual)
- Classification vs Regression
- Real-World Classification Examples
Glossary
Review these key terms before starting this week. They are kept simple so students can learn the new vocabulary before moving into the slides.
- Supervised Learning Overview
- Supervised Learning Overview
- Unsupervised Learning Overview (Conceptual)
- Unsupervised Learning Overview (Conceptual)
- Classification vs Regression
- Classification vs Regression
Supervised Learning Overview
Progress
1 / 8
Distinguish between supervised and unsupervised learning at a conceptual level.
Read one card at a time. Focus on the main idea first, then look at the visual on the right to help it stick.
Supervised learning uses labeled data.
The model learns to map inputs to known outputs.
It is common in prediction and classification tasks.
It is beginner-friendly and widely used.
This module focuses mainly on supervised learning.
Remember
Supervised learning is about learning from examples where the right answer is already known.
Supervised Learning Overview
Slide 1 of 8
Use arrows or dots to move through the lesson
Practice
- Write 2-3 sentences about what you learned this week.
Coming Next Week: Next: Data for Machine Learning