What is the difference between mock data and synthetic data?
Mock data is often used for testing and development, while synthetic data is generated to mimic real data for analysis.
Can you give me examples of when to use each type?
Sure! Use mock data for unit testing applications, and synthetic data for training machine learning models.
Are there any risks associated with using synthetic data?
Yes, synthetic data can introduce biases if not generated carefully, potentially leading to inaccurate models.
How do I generate synthetic data?
You can use tools like GANs (Generative Adversarial Networks) or libraries like Faker to create synthetic datasets.
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