Data science
Machine Learning Accuracy Using Synthetic Data
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.
Read more...What Is Data Simulation?
Data simulation is the process of using large quantities of data to predict events and validate models. Get the full data simulation definition.
Read more...How to Generate Synthetic Data: Tools and Techniques to Create Interchangeable Datasets
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.
Read more...Deep dive on generating synthetic data for Healthcare
Take a deep dive on training Gretel’s open-source, synthetic data library to generate electronic health records that protect individual privacy (PII).
Read more...Measure the Quality of any Synthetic Dataset with Gretel Evaluate
Assessing the efficacy and quality of synthetic data with Gretel Evaluate API.
Read more...Evaluating Data Sampling Methods with a Synthetic Quality Score
An evaluation of the effect of sampling procedures on the quality of synthetic tabular data using Gretel.ai's Synthetic Quality Score (SQS).
Read more...What's new in Beta2
Beta2 for Gretel.ai is all about delivering privacy engineering as a service through clean, simple APIs.
Read more...What We’re Reading: Trends & Takeaways from the NeurIPS 2021 Conference
The Gretel research team's favorite trends and takeaways from the NeurlPS 35th Annual Conference on Neural Information Processing Systems.
Read more...Innovating With FastText and Table Headers
Look at how FastText word embeddings can help to quickly understand new datasets, and build more consistent labels for your own data.
Read more...How To Create Differentially Private Synthetic Data
A practical guide to creating differentially private, synthetic data with Python and TensorFlow.
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