‘Machine learning’ is a revolution as big as the internet or personal computers


We’re in the middle of a historic moment. 

It used to be the case that you had to program a computer so that it knew how to do things. Now computers can learn from experience.

The breakthrough is called “machine learning.” It’s unimaginably important for understanding where technology is going, and where society is going with it. 

Netflix’s movie recommendations, Amazon’s product recommendations, Facebook’s ability to spot your friends faces, dating app’s matching you with potential dates — these are all early examples of machine learning. 

And Google’s self-driving car is becoming the classic case study. 

“A self-driving car is not programmed to drive itself,” says University of Washington computer scientist Pedro Domingos, author of “The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World.”

“Nobody actually knows how to program a car to drive,” he says. “We know how to drive, but we can’t even explain it to ourselves. The Google car learned by driving millions of miles, and observing people driving.” 

That’s the key: machine learning allows algorithms to learn through experience, and do things we don’t know how to make programs for. 

Read the source article at Business Insider