Machine learning is a great tool for cybersecurity, but be cautious, expert says

TechRepublic's Karen Roby spoke with Chris Ford, VP of product for Threat Stack, about supervised and unsupervised machine learning. The following is an edited transcript of their conversation. Christopher Ford: Supervised and unsupervised learning are techniques that help to facilitate different use cases within the sphere of machine learning. As your viewers know, machine learning is used to gain insights out of data sets. I would say that the crucial difference between unsupervised learning and supervised learning is that the former, unsupervised learning, it's easier to get started with because it does not require labeled data.