Supervised Learning #2 8/16/2019 | 14m 57s | CC We’re going to teach John Green Bot how to tell the difference between donuts and bagels. Aired 08/16/2019 | Rating NR From Problems playing video?

In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning. Whether you're a beginner or brushing up on AI ...

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.

Indeed, mathematical optimization and machine learning are two tools that at first glance — like scissors and pliers — may seem to have a lot in common.

In supervised learning, the most prevalent, the data is labeled to tell the machine exactly what patterns it should look for. Think of it as something like a sniffer dog that will hunt down ...

Supervised learning depends on annotated data: images, audio or text that is painstakingly labeled by hordes of workers. They circle people or outline bicycles on pictures of street traffic.