What is synthetic data and how is it generated?
Synthetic data is artificially generated data that mimics real data. It's created using algorithms and models.
What are the benefits of using synthetic data?
Benefits include privacy protection, cost-effectiveness, and the ability to create large datasets for training AI models.
Can synthetic data be used for machine learning?
Yes, synthetic data is often used in machine learning to train models when real data is scarce or sensitive.
Are there any limitations to synthetic data?
Yes, limitations include potential lack of realism and the risk of models overfitting to synthetic patterns.
How do I generate synthetic data for my project?
You can use libraries like Faker, Synthea, or specialized tools like DataRobot to generate synthetic data tailored to your needs.
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