Neha Patki
07 October, 2022
Proper evaluation is critical when using synthetic data. Avoid this common mistake and lead your project to success.
07 February, 2023
Understand categorical data to help you create higher quality synthetic data
Santiago Gomez Paz
20 December, 2022
It can be difficult to verify the progress that a GAN is making. What if we combined it with easily interpretable metrics and visualizations?
Arnav Modi
24 February, 2022
What happens when you train a machine learning model on synthetic data instead of real data? Let's experiment to find out.
01 December, 2021
ML models learn some rules out of the box, while other logic requires more work. Which is which? Read more to find out.
