Understanding Data for AI

Data is fuel for AI.

Why Data Matters

AI = Smart only when trained with good data

Bad data = Bad AI Good data = Good AI

Types of Data

**Numbers**: Age, price, temperature **Text**: Reviews, emails, articles **Images**: Photos, X-rays, satellite images **Audio**: Voice recordings, music **Video**: Movies, surveillance footage

Data Quality

**Good Data**: - Accurate - Complete - Relevant - Enough quantity

**Bad Data**: - Missing values - Errors - Outdated - Too little

Example

Training AI to predict apartment rent in Chicago:

**Good Data**: 10,000 apartments with size, location, amenities **Bad Data**: 50 apartments with missing information

Data Preparation

1. **Collect**: Gather data 2. **Clean**: Remove errors 3. **Organize**: Structure properly 4. **Split**: Train data + Test data

Real Example

Netflix has data on: - What you watched - When you watched - What you rated - What you skipped

This data helps AI recommend shows!

Remember

- More quality data = better AI - Clean data before using - Data privacy is important