Best Practices for Applying Synthetic Data
Synthetic data indeed has many advantages and has been successfully and extensively utilized recently in various domains and applications. However, many general issues limit the usability of synthetic data. In this chapter, you will learn about these issues that present a bottleneck for synthetic data. Then, we will delve into domain-related issues that make deploying synthetic data even more challenging. You will explore these issues in various fields, such as healthcare, finance, and self-driving cars. Following this, you will be introduced to an excellent set of good practices that improve the usability of synthetic data in practice.
In this chapter, we’re going to cover the following main topics:
- Unveiling the challenges of generating and utilizing synthetic data
- Domain-specific issues limiting the usability of synthetic data
- Best practices for the effective utilization of synthetic data
