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Synthetic data is artificially manufactured training data designed to work as effectively as the real thing.
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Scooped by Joe Boutte |
Scoop.it!
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I like this quote from the article, "Machine learning models are gluttonous. They need to consume a lot of training data -- and the right training data -- if they're going to work properly. In fact, one of the hurdles to capitalizing on machine learning technology is collecting enough data to satisfy the models."
With the massive data sets available, finding more training data may not be as challenging as it seems, but finding the right data is more critical. The idea and implementation of synthetic training data may accelerate adaption in organizations.