# Chapter 4. Training Data

## Sampling

In many cases, sampling is necessary.
- Don't have access to all possible data.
- Don't have much time or resource to load all data.
- Want to do a quick experiment for a new model.

There are 2 types of sampling:
- Nonprobability Sampling
- Random Sampling

### Nonprobability Sampling