Before we dive into supervised and unsupervised learning, let’s have a zoomed-out overview of what machine learning is. In their simplest form, today’s AI systems transform inputs into outputs.

Supervised and unsupervised learning describe two ways in which machines - algorithms - can be set loose on a data set and expected to learn something useful from it. Today, supervised machine ...

To a large extent, supervised ML is for domains where automated machine learning does not perform well enough. Scientists add supervision to bring the performance up to an acceptable level.

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...