The Crux of Supervised Learning: Annotated Training Data

AI Business  featured several quotes from Franz’s CEO Jans Aasman:

Machine learning is one of the best examples of exactly how resource-intensive the numerous applications of artificial intelligence are. This sentiment is particularly true for supervised learning which, although responsible for some of the core facets of automation AI is acclaimed for, necessitates sizable quantities of training data, labeled training data, and human input for the latter.

“People hear a lot about machine learning and they think that everything goes automatic but, in reality supervised learning is what works the best,” commented Franz CEO Jans Aasman. “Supervised learning takes a lot of human effort to label things.”

Read the full article at AI Business.