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An AI model is only as good as the data it's trained on. Microsoft wants to make its data as neat as a pin.
The company is seeking to patent a system for improving machine learning models by "detecting and removing inaccurate training data." Microsoft's system essentially works by picking out the outliers. Ironically, it relies on a machine learning model trained to evaluate training data and come up with a "prediction confidence level" determining if the sample is both erroneous and varies too much from the rest of the dataset.
Source Fool.com