Best 902 quotes in «data quotes» category

It's not just that there is a cooperative spirit of investigation there, where we all recognise that we are engaged in a common project of inquiry. It's also that the philosophers are well-versed in the relevant empirical data, and the scientists are well-versed in the more abstract issues which are typically the central focus of philosophical work.

It wasn't exactly a cattle call. I had an agent, and they were seeing people for the parts, so my agent said, "Here's the script, see if there's anything that speaks to you." And I did, and I called my agent and said, "I think this character Data is kind of interesting," and she said, "Well, okay, I'll get you the appointment with Junie Lowry." I had to read with the casting agent first, 'cause nobody really knew me then. Then after that, I had, I think, six different auditions for the role. And finally it was me [on Star Trek].

I've been doing lot of work, and hopefully will bring it to fruition in a way people can see it, really understanding - this is going to sound funny, but what does government really do, how is it really funded, and what measures exist to evaluate how it does at what it does? No forecast, no policy, no prediction, just a realistic perspective on what is. Call it like a "10k for government" we've been working on with a website, with additional data.

I've always found the world is the most extraordinarily fascinating place and the more data you get, the more you can actually put pieces into this jigsaw.

I've seen people spend days, if not months, researching and gathering data, but only at the end did they finally figure out what they were really looking for; then they have to redo a lot of stuff. If after a day or so you force yourself to put together your tentative conclusions, then you'll have guidance for the rest of your research.

I've seen how the issues that come across a president's desk are always the hard ones - the problems where no amount of data or numbers will get you to the right answer.

I've sworn off agnosticism, which I now call cowardly atheism. I've come to the position that in the complete absence of any supporting data whatsover for the persistence of the individual in some spiritual form, it is necessary to operate under the provisional conclusion that there is no afterlife and then be ready to amend that if I find out otherwise.

I was a musician who began playing with computers, to see if they could make some tasks simpler. I developed some "tricks" or strategies for working with audio files, and then discovered that the same tricks could be applied to video files, or really, any type of data. Previously I made many different kinds of music. I did some work as a composer of film scores. In that role, my task was to create audio to match and deepen the visual. In my work now, the role is often reversed: I have to create images to match and deepen the audio.

I wanted to separate data from programs, because data and instructions are very different.

I want to set up a new standard: ‘scientific journalism.’ If you publish a paper on DNA, you are required, by all the good biological journals, to submit the data that has informed your research—the idea being that people will replicate it, check it, verify it. So this is something that needs to be done for journalism as well. There is an immediate power imbalance, in that readers are unable to verify what they are being told, and that leads to abuse.

I want to have enough data, so I won't write myself into thin air, so that I can extrapolate and give you this secret human infrastructure. The only way I sate my own curiosity is to create this from scratch. There must be commanding love stories. There must be great moral cost.

I was shocked to find that there were actually climate scientists who wouldn't share the raw data, but would only share their conclusions in summary graphs that were used to prove their various theories about planet warming. In fact I began to smell something really bad, and the worse that smell got, the deeper I looked.

I was raised on a dairy farm and ate plenty of meat and eggs until about twenty years ago. I started doing nutritional research, and a decade pr so after that my family made some major dietary changes. I'm just paying attention to what the data are telling me: The scientific evidence came first.

I was really intrigued by the idea of using live streams of data that's relevant to real people, and that would allow us to reflect and learn about ourselves.

I will, in fact, claim that the difference between a bad programmer and a good one is whether he considers his code or his data structures more important. Bad programmers worry about the code. Good programmers worry about data structures and their relationships.

I wonder whether any other generation has seen such astounding revolutions of data and values as those through which we have lived. Scarcely anything material or established which I was brought up to believe was permanent and vital, has lasted. Everything I was sure or taught to be sure was impossible, has happened.

I wonder what really goes on in the minds of Church leadership who know of the data concerning the Book of Abraham, the new data on the First Vision, etc.... It would tend to devastate the Church if a top leader were to announce the facts.

I would only have been too pleased if someone had asked me for my data. If you really believed in your data, you wouldn't mind someone looking at it. You should be able to respond that if you don't believe me go out and do the measurements yourself.

I would like people to be more aware of the fact that ultimately we are paying for things, and it's not just as privacy advocates point out that we're paying with our time and our data. We're also paying with money, because the hundreds of billions of dollars spent on advertising is just factored into the cost of the goods that we buy. It's all coming out of our pocket, just in a really roundabout way.

I would say that hardware is the bone of the head, the skull. The semiconductor is the brain within the head. The software is the wisdom and data is the knowledge.

Just as modern man consumes both too many calories and calories of no nutritional value, information workers eat data both in excess and from the wrong sources.

Junk food, empty calories and carbs are the Big Data of the masses

Knowledge is invariably a matter of degree: you cannot put your finger upon even the simplest datum and say this we know.

Just providing information about how bad things are, or the statistics and data on incarceration by themselves, does lead to more depression and resignation and is not empowering. The information has to be presented in a way that's linked to the piece about encouraging students to think critically and creatively about how they might respond to injustice, and how young people have responded to injustice in the past.

Knowing is not simply a material act, since the object that is known always conceals something beyond the empirical datum. All our knowledge, even the most simple, is always a minor miracle, since it can never be fully explained by the material instruments that we apply to it. In every truth there is something more than we would have expected, in the love that we receive there is always an element that surprises us.

Knowledge is organized data. For it to be shelved as human knowledge it's got to be predictable, repeatable, all the basics of scientific validation have to be there.

Language fails not because thought fails, but because no verbal symbols can do justice to the fullness and richness of thought. Ifwe are to continue talking about "data" in any other sense than as reflective distinctions, the original datum is always such a qualitative whole.

Lastly, the great uncertainty of all data in War is a peculiar difficulty, because all action must, to a certain extent, be planned in a mere twilight, which in addition not unfrequently — like the effect of a fog or moonshine — gives to things exaggerated dimensions and an unnatural appearance.

Life is made up of a series of judgments on insufficient data, and if we waited to run down all our doubts, it would flow past us.

Let's look at lending, where they're using big data for the credit side. And it's just credit data enhanced, by the way, which we do, too. It's nothing mystical. But they're very good at reducing the pain points. They can underwrite it quicker using - I'm just going to call it big data, for lack of a better term: "Why does it take two weeks? Why can't you do it in 15 minutes?

Librarians are more important than ever before ... are uniquely qualified to help all of us separate the digital wheat from the chaff, to help us understand the reliability of the data we encounter.

Learn to love the data and, for heaven's sake, write well.

Let's say tomorrow that there was a president, that we elected a president that eliminated the bulk collection of data. Let's just say it happened. What do you think would happen? People are like 'the sky would fall. We would be overrun with jihadists.' Maybe we could rely on the Constitution. Maybe we could get warrants. ... If you make the warrant specific, there's no limit to what you can get through a warrant.

Listening to the data is important... but so is experience and intuition. After all, what is intuition at its best but large amounts of data of all kinds filtered through a human brain rather than a math model?

Looking at the data and at my drug use and evaluating it carefully just let me see that I wasn't special, but my drug use challenged what I thought about cocaine. Because I would accept when I would say, "What happened to that person?" and someone would say, "They started using cocaine...they went downhill..." I would just accept that, even though I had a different experience and all these other people had a different experience. But I would throw that out because I thought my experience was an aberration.

Management must provide employees with tools that will enable them to do their jobs better, and with encouragement to use these tools. In particular, they must collect data.

Making good judgments when one has complete data, facts, and knowledge is not leadership - it's bookkeeping

Make your copy straightforward to read, understand and use. Use easy words; those that are used for everyday speech. Use phrases that are not too imprecise and very understandable. Do not be too stuffy; remove pompous words and substitute them with plain words. Minimize complicated gimmicks and constructions. If you can't give the data directly and briefly, you must consider writing the copy again.

MapReduce has become the assembly language for big data processing, and SnapReduce employs sophisticated techniques to compile SnapLogic data integration pipelines into this new big data target language. Applying everything we know about the two worlds of integration and Hadoop, we built our technology to directly fit MapReduce, making the process of connectivity and large scale data integration seamless and simple.

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

Mathematicians come to the solution of a problem by the simple arrangement of the data, and reducing the reasoning to such simple operations, to judgments so brief, that they never lose sight of the evidence that serves as their guide.

Mathematics alone make us feel the limits of our intelligence. For we can always suppose in the case of an experiment that it is inexplicable because we don't happen to have all the data. In mathematics we have all the data, brought together in the full light of demonstration, and yet we don't understand. We always come back to the contemplation of our human wretchedness. What force is in relation to our will, the impenetrable opacity of mathematics is in relation to our intelligence.

Mathematics may be compared to a mill of exquisite workmanship, which grinds you stuff of any degree of fineness; but, nevertheless, what you get out depends upon what you put in; and as the grandest mill in the world will not extract wheat-flour from peascods, so pages of formulae will not get a definite result out of loose data.

Merely presenting a driver's license or other document based on a birth certificate is not enough for an accurate verification. Biometric verification of identity must be made and then a data base of those persons who have legal status must be checked.

Maybe we, the cultural workers , could apply ourselves. We're not going to resolve it in this moment or even in this generation, but perhaps as some kind of agenda we could invite our writers and cultural workers to address the problem a little more responsibly, because people are suffering tremendously from a want of data.

Measurement has too often been the leitmotif of many investigations rather than the experimental examination of hypotheses. Mounds of data are collected, which are statistically decorous and methodologically unimpeachable, but conclusions are often trivial and rarely useful in decision making. This results from an overly rigorous control of an insignificant variable and a widespread deficiency in the framing of pertinent questions. Investigators seem to have settled for what is measurable instead of measuring what they would really like to know.

Microsoft is in a court battle with the Department of Justice. The DOJ is saying, "We want information from your data center in Ireland. It's not about a US citizen, but we want it." Microsoft said, "OK, fine. Go to a judge in Ireland. Ask them for a warrant. We have a mutual legal-assistance treaty. They'll do it. Give that to us, and we'll provide the information to you in accordance with Irish laws.

Modern statisticians are familiar with the notion that any finite body of data contains only a limited amount of information on any point under examination; that this limit is set by the nature of the data themselves, and cannot be increased by any amount of ingenuity expended in their statistical examination: that the statistician's task, in fact, is limited to the extraction of the whole of the available information on any particular issue.

Molecular genetics can show off some surprising relationships like, for example, the close relationship of whales to hippopotamuses, which I think nobody ever guessed until molecular data was looked at. The closest relatives of whales are hippopotamuses, even closer than any other cloven-hoofed animals.

Most companies don't want their data co-mingled with other customers. Small companies will tolerate it.