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.

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.

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 ...

Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

The key to a better Alexa is self-learning and semi-supervised learning techniques. Here's how Amazon is working to implement them.