How does machine learning actually work? How do the machines learn?
It all comes back to humans teaching these machines how to learn. They start with a base of information that humans have labeled, such as a gallery of images where a doctor has noted a visible medical issue.
Then the machines start to learn. Wired said, "Machine learning algorithms are set loose on these visual data sets, looking for statistical patterns to figure out what features of an image suggest it deserves the particular label or diagnosis it’s been given."
The more the machines learn, the "smarter" they get, but don't forget that people are behind it all.
It was built on an approach to machine learning called artificial neural networks—which also power most of the AI projects grabbing headlines today.Around 2012, the small community still working on the neural network approach to machine learning showed groundbreaking new results on speech and image recognition.Read More