DataCeboOpen Source

Product

All ArticlesApplicationsCommunityCompanyEngineeringProduct

Featured Article

How to evaluate synthetic data for your project — and avoid the biggest mistake we see
Neha Patki

Neha Patki

07 October, 2022

How to evaluate synthetic data for your project — and avoid the biggest mistake we see

Proper evaluation is critical when using synthetic data. Avoid this common mistake and lead your project to success.

Categorical Data: A Closer Look
Neha Patki

Neha Patki

07 February, 2023

Categorical Data: A Closer Look

Understand categorical data to help you create higher quality synthetic data

Interpreting the Progress of CTGAN
Santiago Gomez Paz

Santiago Gomez Paz

20 December, 2022

Interpreting the Progress of CTGAN

It can be difficult to verify the progress that a GAN is making. What if we combined it with easily interpretable metrics and visualizations?

How to evaluate synthetic data for your project — and avoid the biggest mistake we see
Neha Patki

Neha Patki

07 October, 2022

How to evaluate synthetic data for your project — and avoid the biggest mistake we see

Proper evaluation is critical when using synthetic data. Avoid this common mistake and lead your project to success.

ML Model Development using Synthetic Data Clones
Arnav Modi

Arnav Modi

24 February, 2022

ML Model Development using Synthetic Data Clones

What happens when you train a machine learning model on synthetic data instead of real data? Let's experiment to find out.

User input to enhance synthetic data generation
Neha Patki

Neha Patki

01 December, 2021

User input to enhance synthetic data generation

ML models learn some rules out of the box, while other logic requires more work. Which is which? Read more to find out.

Site

  • Contact Us
  • About Us

Open Source

  • SDV
  • RDT
  • GitHub