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128: The Possibilities Are Endless for Synthetic Data with Alex Watson of Gretel.ai
The Data Stack Show
Do I Care About Accuracy in My Machine Learning Model?
We have this kind of belief that there's no one machine learning model to rule them all. And each one has different advantages. So if you are going for a machine learning use case and you care about accuracy, you'd want to use a deep learning generative model. Alternatively, you have GANs which don't offer quite the performance of our language. But they're pretty fast faster training. We've built statistical models based on copulas. They use a mathematical really neat kind of technique to learn and recreate distributions in data. On a 32 core machine, we've collected it about 100 megs per second, it can generate.
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