Sentence examples for learning has been around from inspiring English sources

Though machine learning has been around as a distinct field of computer science since the 1990s, its heyday only began in the 2010s, when corporations such as Google, Facebook, Amazon, and Apple started collecting dozens of terabytes of data about their customers.

The idea of flipped learning has been around for several years; the fifth annual Flipped conference was just held in Chicago last week.

www.uoponline.com M.B.A.'s: The Middle Ground Distance learning has been around for a long time, with Abraham Lincoln, who earned a law degree without attending an actual school, being one of its more famous beneficiaries.

In its case, although Glendale, CA-based Age of Learning has been around for nearly a decade, it started slow, spending nearly four years building things before launching its products, first for families in 2010, then adding tools for teachers in 2011.

In its case, although Glendale, CA-based Age of Learning has been around for nearly a decade, it started slow, spending nearly four years building things before launching its products, first for families in 2010, then adding tools for teachers in 2011.

"We've taken these two machine learning techniques — Gaussian processes has been around for 5-10 years, but is only now getting really used, whereas multi-task learning has been around for less time and is not used that much anywhere — and both of them showed a lot of outperformance for some of the wines.

While the core concepts of deep learning have been around for a few decades, they didn't gain a lot of traction because of technological barriers such as low computing power.

While most of the core algorithms that drive machine learning have been around for decades, what has magnified its promise so dramatically in recent years is the extraordinary growth of the two fuels that power these algorithms – data and computing power.

She also notes that the ideas and concepts behind machine learning have been around for some time, the advancements in computing power and therefore the ability to apply them at scale and in relation to an entire range of use cases is what's new.

The idea of creating software that learns to learn has been around for a while, but previous experiments didn't produce results that rivaled what humans could come up with.

Roy Pea, co-convener of the class and a professor in the GSE, introduced the speakers by noting that what he called "gaming to learn" has been around Stanford for close to a decade.