While unsupervised machine learning techniques get away from the data labeling and classification that most supervised systems require, they are dependent on the quality and variety of the data provided, says Gartner’s Jonathan Care. Unsupervised ML systems allow for analytics to be performed on raw data to detect aberrant patterns and outliers that structured, data classification-based systems would miss, he explains in an interview with Information Security Media Group.

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