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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.
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Copyright © 2022 Gretel.ai

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.
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Copyright © 2022 Gretel.ai

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.
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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).
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Copyright © 2022 Gretel.ai

Measure the Quality of any Synthetic Dataset with Gretel Evaluate

Assessing the efficacy and quality of synthetic data with Gretel Evaluate API.
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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).
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What's new in Beta2

Beta2 for Gretel.ai is all about delivering privacy engineering as a service through clean, simple APIs.
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Copyright © 2022 Gretel Labs. All rights reserved.

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.
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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.
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How To Create Differentially Private Synthetic Data

A practical guide to creating differentially private, synthetic data with Python and TensorFlow.
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