What is synthetic data and how is it used?

What is synthetic data and how is it used?

Synthetic data is artificially generated data that mimics real data. It's used for training AI models, testing algorithms, and protecting privacy.

What are the benefits of using synthetic data over real data?

Benefits include enhanced privacy, reduced costs, and the ability to generate large datasets for rare events that may not be available in real data.

Can synthetic data be used in healthcare?

Yes, synthetic data can be used in healthcare for research, training models, and sharing data without compromising patient privacy.

Are there any limitations to using synthetic data?

Yes, limitations include potential biases in the generated data and the challenge of ensuring it accurately represents real-world scenarios.

How do I generate synthetic data for my project?

You can use various tools and libraries like Python's Faker, Synthea for healthcare data, or specialized platforms like Hazy and Mostly AI.