Gretel Blog

Create artificial data with Gretel Synthetics and Google Colaboratory

Create artificial data with Gretel Synthetics and Google Colaboratory

Use Gretel Synthetics and Colaboratory’s free GPUs to train a model to automatically generate fake, anonymized data with differential privacy guarantees.
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Fast data cataloging of streaming data for fun and privacy

Fast data cataloging of streaming data for fun and privacy

Learn more about how Gretel's REST APIs automatically build a metastore that makes it easy to understand what is inside of your data.
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Using generative, differentially-private models to build privacy-enhancing, synthetic datasets from real data.

Using generative, differentially-private models to build privacy-enhancing, synthetic datasets from real data.

We’re going to train and build our synthetic dataset off of a real-time public feed of e-bike ride-share data called the GBFS (General Bike-share Feed)
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Gretel.README

Gretel.README

At Gretel, we realized that we can apply machine learning, synthetic data, and formal reasoning to offer provable privacy guarantees for data.
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Deep dive on generating synthetic data for Healthcare

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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Innovating With FastText and Table Headers

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 we accidentally discovered personal data in a popular Kaggle dataset

How we accidentally discovered personal data in a popular Kaggle dataset

Learn about new features in Gretel, and how those features enabled us to discover personally identifiable information (PII) in a popular Kaggle dataset.
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