Time to complete
Digital tools
Skills
Lessons
1. Unit Introduction
2. Make Inferences from Data
- check_circle play_circle_outline Introduction to Make Inferences from Data
- check_circle play_circle_outline Explore Data with a Pivot Table
- check_circle play_circle_outline Import Data into Google My Maps
- check_circle play_circle_outline Make Inferences Using Data
- check_circle play_circle_outline Make Inferences from Data Wrap-Up
- check_circle extension Extension: Create and Share Your Own Map
3. Build a Recommendation System: Collect Data
- check_circle play_circle_outline Introduction to Collect Data
- check_circle play_circle_outline Create and Test Your Form
- check_circle play_circle_outline Collect Data from Users
- check_circle play_circle_outline Collect Data Wrap-Up
- check_circle extension Extensions: Customize and Share Your Google Forms
4. Build a Recommendation System: Make a Recommendation
- check_circle play_circle_outline Introduction to Make a Recommendation
- check_circle play_circle_outline Prepare the Data
- check_circle play_circle_outline Develop a Model
- check_circle play_circle_outline Use More Data to Improve Your Model
- check_circle play_circle_outline Make Predictions About New Data
- check_circle play_circle_outline Build a Recommendation System Wrap-Up
- check_circle extension Extension: Compare Your Model with Average Rating
5. Train a Computer
6. Fairness in Machine Learning
- check_circle play_circle_outline Introduction to Fairness in Machine Learning
- check_circle play_circle_outline Choose a Category and Search for Images
- check_circle play_circle_outline Reflect on What You Have Learned and Add Omitted Items
- check_circle play_circle_outline Assess Machine Learning Fairness in College Decisions
- check_circle play_circle_outline Fairness in Machine Learning Wrap-Up
- check_circle extension Extensions: Share and Discuss Fairness in Machine Learning