Diversity Issues in Synthetic Data
This chapter introduces you to a well-known issue in the field of synthetic data, which is generating diverse synthetic datasets. It discusses different approaches to ensure high diversity in large-scale datasets. Then, it highlights some issues and challenges in achieving diversity for synthetic data.
In this chapter, we’re going to cover the following main topics:
- The need for diverse data in ML
- Generating diverse synthetic datasets
- Diversity issues in the synthetic data realm
