Looking back to data, we can see if the consequences are plausible; looking forward to theory, we can see if general principles are suggested.

If truth can be found in any sublunary science, numbers will produce it, for to that at last almost all other sciences refer for confirmation.

Nobody has really grasped yet the great wealth that can be made selling data over the Web. There are 100 million potential customers out there.

Information anxiety is the black hole between data and knowledge, and it happens when information doesn't tell us what we want or need to know.

What's encouraging is that the early new platforms - Kindle and iPad - are clearly leading to people buying more books. The data is in on that.

Anybody who is familiar with the historical data from the IRS knows that raising income tax rates will likely actually reduce federal revenues.

Before Google, and long before Facebook, Bezos had realized that the greatest value of an online company lay in the consumer data it collected.

We know evolution happened because innumerable bits of data from myriad fields of science conjoin to paint a rich portrait of life's pilgrimage.

The whole concept of data science is that the software becomes the expert, and you, as the average user, are able to understand what's going on.

It would be a matter of concern for government if intrusive data capture has been deployed against Indian citizens or government infrastructure.

The data that can bear on the confirmation of perceptual hypotheses includes, in the general case, considerably less than the organism may know.

To get anywhere, or even to live a long time, a man has to guess, and guess right, over and over again, without enough data for a logical answer.

Except in expert hands, stats can get in the way of story; an array of data that might better be presented in a table instead clogs up sentences.

The possibilities for creation and insight are endless. We're constantly collecting more data, and it's starting to be very relevant to our lives.

We have 25 or so years invested in the work. Why should I make the data available to you, when your aim is to try to find something wrong with it.

If you're a cyber-criminal, the days of stealing data and then selling it for cash in the dark web - they're not so profitable as they used to be.

There were 5 Exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days.

The danger of parachuting young enthusiastic scientists into a flower bed of selected data and fully bloomed conceptions should be underestimated.

I don't think that I am hopeful because I have some data that you don't, that I am going to share with you and going to convince you on that basis.

They're trying to put data centers in cold environments because they're actually generating so much heat now; they're using up so much electricity.

I set out to create chips that used low-energy technology, and that has allowed me to develop devices that can do all their data crunching on site.

Before anything can be reasoned upon to a conclusion, certain facts, principles, or data, to reason from, must be established, admitted, or denied.

Data is what powers all of us and our lives. It is ubiquitous among our now-connected lives. I love how it is now the oxygen of our Internet world.

People in both fields operate with beliefs and biases. To the extent you can eliminate both and replace them with data, you gain a clear advantage.

What we did is we used NASA topography data to map out the landscape, very subtle changes. We started to be able to see where the Nile used to flow.

In every branch of knowledge the progress is proportional to the amount of facts on which to build, and therefore to the facility of obtaining data.

The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.

The thing that sucks is that there's so much false data because people are in mystery as to what Scientology is, so they just kind of make up stuff.

Everything is changing now that we are in the cloud in terms of sharing our data, understanding our data using new techniques like machine learning.

The thing that sucks is that there’s so much false data because people are in mystery as to what Scientology is, so they just kind of make up stuff.

And empathy is narrow; it connects us to particular individuals, real or imagined, but is insensitive to numerical differences and statistical data.

Whatever lies beyond the limits of experience, and claims another origin than that of induction and deduction from established data, is illegitimate.

Rule 1. Original data should be presented in a way that will preserve the evidence in the original data for all the predictions assumed to be useful.

The amount of data and analysis available for free is a true example of information explosion has leveled the playing field for individual investors.

I believe that it's fine if the university wants to regulate, for example, bandwidth access, but they should treat the students data as private data.

Voter fraud is a reality in American elections, but it is typical of the candidate to confuse anecdote with data and turn allegation into conspiracy.

Security is a big concern on the social web. People are going to try to destroy social media just like they are trying to breach data in other areas.

Rob Engle and I are concerned with extracting useful implications from economic data, and so the properties of the data are of particular importance.

The outsourcing of our memory to machines expands the amount of data to which we have access, but degrades our brain’s own ability to remember things.

Marketers can target Sponsored Updates to any segment of our premium audience based on professional profile data across more than 225 million members.

The e-mails are mainly about a controversy over a particular data set and the ways a particular small group of scientists have displayed that dataset.

Philosophers of science have repeatedly demonstrated that more than one theoretical construction can always be placed upon a given collection of data.

There is a shirt company that is making sensors that go into your clothing. They will watch how you sit, run or ski and give data on that information.

For all the claims one hears about the liberating impact of the data-net, the truth is that it's wished on most of us a brand-new reason for paranoia.

The art is in preparing the content for optimal human consumption. The data doesn't just talk back to you. You collect, you analyze, you tell stories.

Data is the fabric of the modern world: just like we walk down pavements, so we trace routes through data, and build knowledge and products out of it.

Machine learning is looking for patterns in data. If you start with racist data, you will end up with even more racist models. This is a real problem.

There is not substantial data that AZT stops the transmission of HIV from mother to child. There is too much conflicting data to make concrete policy.

Not sense data or atoms or electrons or packets of energy, but purposes, interests, and meanings, constitute the underlying facts of human experience.

If we look at statistical data, we see that Protestant countries in terms of economic development are more successful than those observing Catholicism.

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