Sentence examples for data maybe a from inspiring English sources

Exact(2)

The original Ethernet carried data maybe a few hundred feet; data on this one can run up to 100 miles, traveling through just a few boxes to get to its destination.

So the comScore's data maybe a leading indicator that all is not well at Google, it is not precise enough to calculate what the actual impact will be on Google's business.

Similar(58)

Instead of a continuous push to support big projects and big data, maybe we should consider a more effective way of addressing real science challenges.

Asked what kind of evidence it would take to convince him that evolution had occurred, he said, "I'd need actual data, maybe even photographs of a species in its evolution process, which is probably impossible since it's supposed to take thousands of years".

Puno doesn't know what she'll do with the data maybe use it in an exhibition sometime, maybe analyze it for patterns to use in another piece — but she told me that she won't post it online or use it to track anybody down.

If Google planned to sell the data maybe there would be an issue.

They conclude that, other than the well-known effect of osmotic diuresis, mannitol induced a renal vasodilatation and increased RBF with no changes in filtration fraction or the renal oxygen supply/demand relation, thus somehow redistributing systemic blood flow to the kidneys; these data maybe of some value in all cases where a RBF decrease is suspected.

"If we can be completely transparent and help demystify dating with data, maybe you will trust us to help find you a match," Mr. Yagan said.

Following on from a similar trend in the manufacturing PMI data, maybe we are starting to see some light at the end of the tunnel.

"Yet, the people who just do instincts without data maybe Jobs is great at that, maybe Zuck was for a while, maybe Evan Spiegel at Snapchat, but most people aren't just naturally instinctive and perfect every time.

In a traditional approach, the edge devices collect the data, maybe perform some basic operations against the data to bring down the bandwidth cost and then ship it to the cloud where the hard work is done and where, if you are doing machine learning, the models are trained.

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