Introduction to Supervised Machine Learning
This page is structured as follows:
- The first slideshow is the slide deck teaching the important concepts for this entire topic.
- The follow activities are supplementary activities that kids should complete to reinforce these important concepts.
These activities are listed in the order we suggest you follow.
1. Main Script and Slides
2. Teachable Machine Activities
- Links:
Teachable Machines Activity #1
Teachable Machines Activity #2
Teachable Machines Recap - Pre-Reqs: “Introduction to Supervised Machine Learning” Main Slides
- Suggested Length: 60 min total
- Tech Dependencies: Google Chrome
- Key Concepts: Datasets, Teachable Machines, Equal Representation, Components of AI
- Group Reqs: None
- Description: Students answer questions about what they learned while learning about Teachable Machines.
3. Teachable Machine Project
- Link: Project Slides
- Pre-Reqs: “Introduction to Supervised Machine Learning” Main Slides
- Suggested Length: 2 hours
- Tech Dependencies: Google Chrome, Teachable Machines, Scratch
- Key Concepts: Teachable Machines, Application of AI, Algorithm, Scratch
- Group Reqs: None
- Description: Students are introduced to the concept of classification. By exploring Google’s Teachable Machine tool, students learn about supervised machine learning. Then students are asked to build a cat-dog classifier but are unknowingly given a biased dataset. When the classifier works better on cats than dogs, students have the opportunity to retrain their classifiers with their own new datasets.