How can I create synthetic data for my machine learning model?

How can I create synthetic data for my machine learning model?

You can create synthetic data using various techniques like data augmentation, generative models, or simulation.

What are generative models, and how do they work?

Generative models are algorithms that can generate new data points by learning the underlying distribution of a dataset.

Can you give me an example of a generative model?

Sure! A popular example is the Generative Adversarial Network (GAN), which consists of a generator and a discriminator.

What are the benefits of using synthetic data?

Synthetic data can help in scenarios where real data is scarce, protect privacy, and allow for controlled experiments.