Data science

How we implemented a practical attack on a synthetic data model to validate its ability to protect sensitive information under different parameter settings.

Can synthetic data really be used in machine learning? We explore the utility of synthetic data created from popular datasets and tested on popular ML algorithms.

Data simulation is the process of using large quantities of data to predict events and validate models. Get the full data simulation definition.

Synthetic data is algorithmically generated data that mirrors the statistical properties of the dataset it’s based on. Learn how to make high-quality synthetic data.

Take a deep dive on training Gretel’s open-source, synthetic data library to generate electronic health records that protect individual privacy (PII).

Assessing the efficacy and quality of synthetic data with Gretel Evaluate API.

An evaluation of the effect of sampling procedures on the quality of synthetic tabular data using Gretel.ai's Synthetic Quality Score (SQS).

Beta2 for Gretel.ai is all about delivering privacy engineering as a service through clean, simple APIs.

The Gretel research team's favorite trends and takeaways from the NeurlPS 35th Annual Conference on Neural Information Processing Systems.

Look at how FastText word embeddings can help to quickly understand new datasets, and build more consistent labels for your own data.