Sentences with phrase «where huge amounts of data»

I am surprised that the scientific community hasn [t introduced rigorous recording and change control techniques, particularly in the data age where huge amounts of data and code can be used on even a minor project.

These are places where huge amounts of data is gathered from patients at great expense.

Not exact matches

When you're traveling out of the country, you're typically limited in the amount of data you can use before having to shell out huge roaming fees, and even those «unlimited» plans have data limits where you'll end up having your data speed throttled if you exceed them.

So technology has advanced to the point where it's now possible not only to analyze the huge amounts of data that are being generated in new ways, but to also go back and look at the large of amount of data that has been generated in the past and look at it through a different lens.

For example, Kaplan (where I am chief learning officer) possesses a huge amount of data — billions of records — from people taking practice tests over many years as they prepare for exams like the MCAT.

Along those lines, has the following been tried (again, forgive if I'm asking something with an obvious answer published somewhere): 1) pick starting projection dates and subsequent run paths 2) example for (1): start 1980, run forward 5 years; start 1982, run forward 5 years; start 1984 (run to 1989) etc etc 3) at each start we proceed as with the 1979 directive; ie calibrate with several months of starting year data 4) thus the latest such (example) run where we could compare against actual data would be an initialization in 2008 and run forward for 5 years to 2013 5) the advantage of the above (and I recognize that there is a huge amount of work involved in crunching these simulations) is that we could see the starting temp and 5 year projections against the historical record for a number of overlapping segments.

Corporations such as Google and Facebook use our data to make huge amounts of money, but IoHO imagines a world where we, the «data workers,» have the ability to earn some cash.