Best 902 quotes in «data quotes» category

A problem of statistical inference or, more simply, a statistics problem is a problem in which data that have been generated in accordance with some unknown probability distribution must be analyzed and some type of inference about the unknown distribution must be made.

A rare book at once of great importance and wonderful to read.... Gould presents a fascinating historical study of scientific racism, tracing it through monogeny and polygeny, phrenology , recapitulation, and hereditarian IQ theory. He stops at each point to illustrate both the logical inconsistencies of the theories and the prejudicially motivated, albeit unintentional, misuse of data in each case.... A major addition to the scientific literature.

A procession of the damned. By the damned, I mean the excluded. We shall have a procession of data that Science has excluded.

A proper record shop reminds us why we got into this in the first place - a place to be reminded of old friends, still in their spots on the shelves, a source of unexpected magic and lucid memories - a place that reminds us that music is more than dumb file sharing and the management of dead data by faceless sociopathic corporations, but a storehouse of dreams, both possible and impossible.

Artists will come into my office and say, "I just came from another label and they said you're research guys, you're data guys." I don't know what that means. Everybody who says that is being naive.

As a digital technology writer, I have had more than one former student and colleague tell me about digital switchers they have serviced through which calls and data are diverted to government servers or the big data algorithms they've written to be used on our e-mails by intelligence agencies.

As a geologist, I love Earth observations, but it is ridiculous to tie this objective to a 'consensus' that humans are causing global warming when human experience, geologic data and history, and current cooling can argue otherwise. 'Consensus,' as many have said, merely represents the absence of definitive science. You know as well as I, the 'global warming scare' is being used as a political tool to increase government control over American lives, incomes and decision making.

As a medical doctor, it is my duty to evaluate the situation with as much data as I can gather and as much expertise as I have and as much experience as I have to determine whether or not the wish of the patient is medically justified.

As a matter of fact, when compression technology came along, we thought the future in 1996 was about voice. We got it wrong. It is about voice, video, and data, and that is what we have today on these cell phones.

as an economics professor I am by nature inclined to the view that the truth isn't out there, it's in here - that usually you learn a lot more by thinking really hard about the data than you do by sniffing around for supposedly inside information.

As a physician, I understand how important it is to collect data on people so we can understand what's happening with them. I will be in the position to help enable that knowledge.

As a physician I have sympathy for patients suffering from pain and other medical conditions. Although I understand many believe marijuana is the most effective drug in combating their medical ailments, I would caution against this assumption due to the lack of consistent, repeatable scientific data available to prove marijuana's benefits. Based on current evidence, I believe that marijuana is a dangerous drug and that there are less dangerous medicines offering the same relief from pain and other medical symptoms.

As a senator, I raised the alarm about sub prime mortgages. I fought to hold reckless manufacturers accountable for toxic toys and household products that threaten our kids. I introduced legislation to protect Americans' personal data and combat identity theft. So as president, I will make consumer protection a top priority across the entire government.

As befits Silicon Valley, 'big data' is mostly big hype, but there is one possibility with genuine potential: that it might one day bring loans - and credit histories - to millions of people who currently lack access to them.

A scientist naturally and inevitably ... mulls over the data and guesses at a solution. He proceeds to testing of the guess by new data-predicting the consequences of the guess and then dispassionately inquiring whether or not the predictions are verified.

As I noted in my article "Comparing LTO-6 to Scale-Out Storage for Long-Term Retention," in these situations tape is an ideal storage type. Data on tape can still be automatically scanned for durability and it certainly meets the cost-effectiveness requirements.

As soon as science has emerged from its initial stages, theoretical advances are no longer achieved merely by a process of arrangement. Guided by empirical data, the investigator rather develops a system of thought which, in general, is built up logically from a small number of fundamental assumptions, the so-called axioms. We call such a system of thought a theory. The theory finds the justification for its existence in the fact that it correlates a large number of single observations, and it is just here that the 'truth' of the theory lies.

As somebody who's kind of a technophile, I'm interested in how traditional and digital publishing connect. Maybe ten years ago they were seen as antagonists, but now they complement each other. There's data that shows digital sales actually drive print sales. And even the ways in which pictures and words, text and image, interact - we're seeing these books that are very hard to categorize. All of that is very exciting to me.

As the amount of inputs go up, as the number of people and ideas that clamor for attention continue to increase, we do what people always do: we rely on the familiar, the trusted and the personal. The incredible surplus of digital data means that human actions, generosity and sacrifice are more important than they ever were before.

As the data from the past decade clarify, there is no evidence that poverty causes crime but a great deal of evidence that crime causes poverty. By aligning themselves against the police, against commonsense tactics like stop and frisk, against metal detectors in public housing, against swift and certain punishment, and for a broad array of legal protections for accused criminals, liberals helped to aggrieve the lives of the poor and society as a whole.

A technology becomes truly disruptive when it drives the marginal cost of something that used to be scarce and expensive to approach zero. Thus, it used to be to deploy software at scale, you had to fund a data center, buy a set of servers, storage, and networking gear, build an in-house IT management capability, and buy an expensive stack of enabling software before you could even get started. Now you can get all that from Amazon or Microsoft on a pay-as-you-grow model.

A ten per cent reduction in military expenditures per year would be reasonable, coupled with a programme of retraining the workforce and redirecting the resources in a manner that creates employment and advances social welfare. I also encourage all States to contribute to the UN's annual Report on Military Expenditures by submitting complete data on national defence budgets.

A theory with mathematical beauty is more likely to be correct than an ugly one that fits some experimental data.

A theory is only as good as its assumptions. If the premises are false, the theory has no real scientific value. The only scientific criterion for judging the validity of a scientific theory is a confrontation with the data of experience.

Averages ... seduce us away from minute observation.

At root what is needed for scientific inquiry is just receptivity to data, skill in reasoning, and yearning for truth. Admittedly, ingenuity can help too.

Attempts have been made from a study of the changes produced by mutation to obtain the relative order of the bases within various triplets, but my own view is that these are premature until there is more extensive and more reliable data on the composition of the triplets.

A very small group of powerful people is deciding what's going to happen with your data, and they're using bots to help implement what they want to do. That has nothing to do with democracy. It's all about efficiency. And that's the really scary thing about it.

A very good friend of mine spent a fair amount of time doing postmortems and met with a number of the senior folks on the Romney campaign and they spent, what was it, $140, $160 million on data. And this friend of mine, who is a very sharp thinker, asked a series of questions, but the most important one he asked, he said, "What decisions did you make differently because of the data?" And he's coming from the private equity world where he wants to know, OK, and the answer from virtually every single senior Romney person was "nothing.

Autobiography. Apparently one should not name the names of those one has been to bed with, or give explicit figures on the amount of money one has earned, those being the two data most eagerly sought by readers; all the rest is legitimate to reveal.

...a vocal minority of scientists so mistrusts the models and the complex fragmentary data, that some claim that global warming is a hoax. They have made public statements accusing other scientists of deliberate fraud in aid of their research funding. Both sides are now hurling personal epithets at each other, a very bad development in Earth sciences.

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

Bad programmers worry about the code. Good programmers worry about data structures and their relationships.

Because we're always more woundable when caught at exactly the time where we're in the mood for that particular product or service - and as Big Data increasingly are able to pick up on clues revealing desire - automated systems are increasingly able to hit at exactly those moments, across those channels we move - with an offer matching exactly what we're desiring.

Big data isn’t about bits, it’s about talent.

Beware of the problem of testing too many hypotheses; the more you torture the data, the more likely they are to confess, but confessions obtained under duress may not be admissible in the court of scientific opinion.

Big data is great when you want to verify and quantify small data - as big data is all about seeking a correlation - small data about seeking the causation.

Big data will never give you big ideas... Big data doesn't facilitate big leaps of the imagination. It will never conjure up a PC revolution or any kind of paradigm shift. And while it might tell you what to aim for, it can't tell you how to get there

Belief Systems contradict both science and ordinary "common sense." B.S. contradicts science, because it claims certitude and science can never achieve certitude: it can only say, "This model"- or theory, or interpretation of the data- "fits more of the facts known at this date than any rival model." We can never know if the model will fit the facts that might come to light in the next millennium or even in the next week.

Big data is at the foundation of all of the megatrends that are happening today, from social to mobile to the cloud to gaming.

Birth order effects are like those things that you think you see out of the corner of your eye but that disappear when you look at them closely. They do keep turning up but only because people keep looking for them and keep analyzing and reanalyzing their data until they find them.

Big Data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within eighteen months, or risk being left in the dust.

But what I would say to my successor is that it is important not just to shoot but to aim. And it is important, in this seat, to make sure that you're making your best judgments based on data, intelligence, the information that's coming from your commanders and folks on the ground and you're not being swayed by politics.

Both history and contemporary data show that countries prosper more when there are stable and dependable rules, under which people can make investments without having to fear unpredictable new government interventions before these investments can pay off.

Both Newton and Darwin were driven by the data and were forced to recognize that they couldn't explain everything. It may be a characteristic of great scientists to know what to accept and what to leave out.

But actually theory is very practical. Gravity is a theory, for example. It allows you to predict that if you step off a cliff you will fall; you don't have to collect data on that.

But even if you thought they were adequate at the time, when you're collecting data in bulk-you've got it. The data lasts until you delete it; the rules only last until you decide to change them, and change them in secret.

By analyzing data from Greenwich Observatory in the period 1836-1953, John A. Eddy [Harvard-Smithsonian Center for Astrophysics and High Altitude Observatory in Boulder] and Aram A. Boornazian [mathematician with S. Ross and Co. in Boston] have found evidence that the sun has been contracting about 0.1% per century during that time, corresponding to a shrinkage rate of about 5 feet per hour. And digging deep into historical records, Eddy has found 400-year-old eclipse observations that are consistent with such a shrinkage.

Bosses and leaders everywhere should cherish the people who bring them bad news, disappointing data or hard problems.

[Brazil] went to the UN and said, "We need new standards for this." We need to take a look at what they're calling "data sovereignty.