How can I use generated data in machine learning models?

How can I use generated data in machine learning models?

You can use generated data to augment your training datasets, especially when real data is scarce.

What are some methods to generate synthetic data?

Common methods include using GANs (Generative Adversarial Networks), data augmentation techniques, and simulation.

Are there any risks associated with using generated data?

Yes, risks include overfitting to synthetic patterns and potential biases if the generated data isn't representative.

How do I evaluate the quality of generated data?

You can evaluate it by comparing model performance on real vs. synthetic data and checking for diversity and realism.