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The Growing Prevalence and Accessibility of Machine Learning

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databy Angela Guess

Sanjit Dang recently wrote in ReadWrite, “It’s not every day you can witness an entire class of software making the transition from specialized, expensive-to-develop code to a general-purpose technology. But that’s exactly what’s happening with machine learning. Chances are, you’re already hip-deep in machine-learning applications. It’s how Google Photo organizes those pictures from your vacation in Spain. It’s how Facebook suggests tags for the pictures you took at last week’s soccer match. It’s how the cars of nearly every major automaker can help you avoid unsafe lane changes. And it’s also the start of something even bigger. Machine learning – which enables a computer to learn without new programming – is exploding in its ability to handle highly complex tasks. It can make houses and buildings not just smart, but actively intelligent. It can take e-commerce from a one-size-fits-all experience to something personalized. It might even find your next date.”

Dang goes on, “Driving this surge of machine-learning development is a wave of data generated by mobile phones, sensors, and video cameras. It’s a wave whose scope, scale, and projected growth are unprecedented. Every minute of every day, YouTube gains 300 hours of video, Apple users download 51,000 apps, and 347,222 100,000 Tweets make their way into the world. Those stats come from the good folks at Domo, who call the time we’re living in “an era where data never sleeps.”

Read more here.

Photo credit: Flickr/ jurvetson

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