How to pronounce “data set” in English

georeferenced data set that we're collecting.

A data set might these days consist of records of millions of people.

The data set, the database, for Craigslist back then was Pine email folders.

A data set that had never been collected, let alone released.

This is what our data set looks like now.

That was a data set that I crowd-sourced, because there really was not one in existence that had a good number of existing Halloween costumes.

Then you use this data set to formulate some usually narrow objective function, some proxy for classification error or maybe profit.

we get a data set from the platform provider from those, we assume, for instance - 5M per episode

And that data set looks at high schools, and how people's friendships form, and what patterns they take.

That's a huge data set.

There is no underlying data set, there's no API, and there's, therefore, no ecosystem of applications that lets you understand what's happening

Not just the data set, but the way that it's layered, and the artwork, and then the density in the music.

into a data set that didn't otherwise express them.

If I take that data set and I give it to an algorithm that is blinded to race, what's the algorithm going to do?

And it's one data set, one moment in time.

They acquire data set, like Whole Foods.

Looking at a data set is not sufficient.

So we found a data set with the locations of football stadiums.

We found another data set that has match dates, results, and the bookmakers' odds.

And we had this data set from a story out of the EPA and a study through Baylor University, where they were finding pharmaceuticals--

Because if a data set has been interpolated or if someone has done some modeling on it, then you've got to explain that process as well

Is there a dream data set or dream data sets that you haven't worked with yet that you'd really like to?

That was our largest data set, because they were getting interactions.

They pulled the same data set down, they looked it over, and they had a completely different explanation for those apparently microbial genes in the genome.

So this is another data set showing a very similar thing, another completely different technology.

So the data set, as I said, can be a huge file or a database-- terabytes of data.

within this data set, because you're using something like Facebook to stay in touch with everyone at home.

Using the data set of 305,000 random worker surveys at the applicants- both the winners and losers from 2005 to 2007, and over 13,000 applicant corporations,

So we have a data set.

Registration of data set is what I described.

It's a hard data set.

And taking that data and understanding that data set as a whole, so we can find places where, oh, was there water

You're populating the data set as well as getting something back from it.

The political scientist Jack Levy has assembled a data set of Great Power Wars.

through a large data set I think is-is bound to take over.

I began with the most vital data set: the Earth, specifically, our water.

And so we need to generate that data set.

assume that just because they can analyze data in one area that they can analyze data in another area without considering the wider knowledge that is required to make sense of that data set.

And now I have a a huge data set that I can interrogate and answer questions.

So this should represent a very rich data set.

We went to the original data set from Rosenberg, et al.

and process analytics from a global data set of input in any given moment, and which arguably

I have a perfect insight into that data set.

You end-- start with these large data sets, but actually, what we're mostly trying to do is find the right things to look at within the data set to simplify a problem and gain

You'll start with some data set.

This is off of a data set that we used which was called the Correlates of War data set.

So another way to slice the data set is to look at packaging format.

Now we're in the nontraditional data sets, like how could you think about news or social media as being a valuable health care data set?

The company that has a data set, and understands its customers in the modern world can market to their customers less expensively.