Week 2 · 45-60 min
What Is Machine Learning?
Week Summary
A quick preview of the main ideas in this week before you begin the slides.
- Defining Machine Learning
- How Machines Learn from Data
- The Role of Data in ML
- Features and Labels (Conceptual Intro)
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.
- Defining Machine Learning
- Defining Machine Learning
- How Machines Learn from Data
- How Machines Learn from Data
- The Role of Data in ML
- The Role of Data in ML
Defining Machine Learning
Progress
1 / 8
Understand machine learning as a specific approach to AI.
Read one card at a time. Focus on the main idea first, then look at the visual on the right to help it stick.
Machine learning lets computers learn patterns from data.
Instead of explicit rules, the model learns automatically.
Relevant data often improves learning quality.
ML powers much of modern AI.
ML is a subset of AI.
Remember
Machine learning is one of the most important modern approaches inside the larger field of AI.
Defining Machine Learning
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: Types of Machine Learning