Machine learning training sets focus on precise aspects of a domain. A machine learning algorithm trained on the identification of cancer cells does that job with accuracy and precision. The algorithm has seen so many cases that its ability to identify the next case proves uncanny to those not familiar with the underlying technology. Those who do understand the model are not amazed. The cancer identification algorithm reinforces their own learning that machine learning, or in some camps, artificial intelligence, can outpace a human’s ability to identify patterns among often subtle signals.
By Daniel W. Rasmus, Serious Insights