Data, the fuel of AI

Collecting, cleaning and reading data

Course 5 of 10, Ages 11+

1. Collecting data: Where AI’s examples come from
2. Cleaning data: Fixing mistakes before training
3. Samples and fairness: Does your data represent everyone?
4. Spotting trends: Reading charts like a data detective
5. Averages and outliers: Summing up data with one number
6. Correlation vs causation: When two things move together
7. Who labels the data?: The people behind AI
8. Synthetic data: Made-up examples that help AI learn
9. Big data and the cloud: Storing and crunching enormous datasets
10. Know your dataset: Data labels for honest AI