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.
Microsoft’s tech specifically intends to improve machine learning-based classification, which is widely used across industries, including cybersecurity, logistics, autonomous driving and consumer tech, the company noted. Its system aims to weed out data that’s been inaccurately categorized or labeled due to human error, machine bugs or conflicts. To read the entire article click on link.