Best 902 quotes in «data quotes» category

Everything that informs us of something useful that we didn't already know is a potential signal. If it matters and deserves a response, its potential is actualized.

Everything you see in the world around you is content of some kind. The clothes you wear, the songs you sing, the ads you watch, the food you buy, the tunes you hum and the memes you share. Everything is a signal that sends a message.

Exfiltrated metadata from internet service providers and social media platforms can be plugged into big data analytics and once the right algorithm is applied, can allow an adversary surgically precise psychographic targeting of critical infrastructure executives with elevated privileges. Why is no one talking about this?

G. Stanley Hall, a creature of his times, believed strongly that adolescence was determined – a fixed feature of human development that could be explained and accounted for in scientific fashion. To make his case, he relied on Haeckel's faulty recapitulation idea, Lombroso's faulty phrenology-inspired theories of crime, a plethora of anecdotes and one-sided interpretations of data. Given the issues, theories, standards and data-handling methods of his day, he did a superb job. But when you take away the shoddy theories, put the anecdotes in their place, and look for alternate explanations of the data, the bronze statue tumbles hard. I have no doubt that many of the street teens of Hall's time were suffering or insufferable, but it's a serious mistake to develop a timeless, universal theory of human nature around the peculiarities of the people of one's own time and place.

Having more data does not always give you the power to make better decisions.

If the statistics are boring, then you've got the wrong numbers.

He handed Mae a piece of paper, on which he'd written, in crude all capitals, a list of assertions under the headline "The Rights of Humans in a Digital Age." Mae scanned it, catching passages: "We must all have the right to anonymity." "Not every human activity can be measured." "The ceaseless pursuit of data to quantify the value of any endeavour is catastrophic to true understanding." "The barrier between public and private must remain unbreachable." At the end she found one line, written in red ink: "We must all have the right to disappear.

Huge volumes of data may be compelling at first glance, but without an interpretive structure they are meaningless.

If repairing one's credit is as easy as sending some dispute letters to the credit bureaus then why doesn't everyone have good credit?

If you think that one day you gonna lose the all data, you are kind of right from point of view of dead, yeah you will lose it in your mind. Your mind doesn't come in heaven or hell, does it? From other point of view, from cyber point of view again yeah, you are right... one day everything dies.

If we knew what is already there, there will be no need for research.

If you don't take good care of your credit, then your credit won't take good care of you.

I kept remembering something Michael Fertik had said to me at the Village Pub in Woodside. 'The biggest lie,' he said, 'is "The Internet is about you." We like to think of ourselves as people who have choice and taste and personalized content. But the Internet isn't about us. It's about the companies that dominate the data flows of the Internet.

In a time when society is drowning in tsunamis of misinformation, it is possible to change the world for the better if we repeat the truth often and loud enough.

In ‘A Scandal in Bohemia’, he said it was a capital mistake to theorize without data, because you ended up twisting facts to suit theories instead of the other way around.

In God we trust. All others [must] have data. - Bernard Fisher

In Data Science if you want to help individuals, be empathetic and ask questions; that way, you can begin to understand their journey, too.

In the business people with expertise, experience and evidence will make more profitable decisions than people with instinct, intuition and imagination.

In the days when the white engineers were disputing the attributes of the feeder system that was to be, one of them came to Enzian of Bleicherode and said, "We cannot agree on the chamber pressure. Our calculations show that a working pressure of 40 atü would be the most desirable. But all the data we know of are grouped around a value of only some 10 atü." "Then clearly," replied the Nguarorerue, "you must listen to the data." "But that would not be the most perfect or efficient value," protested the German. "Proud man," said the Nguarorerue. "What are these data, if not direct revelation? Where have they come from, if not from the Rocket which is to be? How do you presume to compare a number you have only derived on paper with a number that is the Rocket's own? Avoid pride, and design to some compromise value." – from Tales of the Schwarzkommando, collected by Steve Edelman

In the old days, a liberal and a conservative (a “dove” and a “hawk,” say) got their data from one of three nightly news programs, a local paper, and a handful of national magazines, and were thus starting with the same basic facts (even if those facts were questionable, limited, or erroneous). Now each of us constructs a custom informational universe, wittingly (we choose to go to the sources that uphold our existing beliefs and thus flatter us) or unwittingly (our app algorithms do the driving for us). The data we get this way, pre-imprinted with spin and mythos, are intensely one-dimensional.

Invite your Data Science team to ask questions and assume any system, rule, or way of doing things is open to further consideration.

It is in the combination of words and visuals that the magic of understanding often happens.

Isn't it sad that we have to gain control of the artificial numbers placed upon us by others to regain some control of our lives?

It's proper Netiquette to protect data with passwords. NetworkEtiquette.net

People need to repeat data… and sense repeation… If I spend my time for that shit… I am going to waste my life, I just want sense new and genuine stuff.

My own best results are often due to pretending I know relatively little, and acting accordingly, though it's easier said than done.

On the corporate side, the upshot of our data (the benefit to us) isn't all that interesting unless you're an economist. In theory, your data means ads are better targeted, which means less marketing spend is wasted, which means lower prices. At the very least, the data they sell means you get to use genuinely useful services like Facebook and Google without paying money for them.

On the first day of a college you will worry about how will you do inside the college? and at the last day of a college you will wonder what will you do outside the college?

Losing some data is possible... after too much of it... everything remains possible.

One measure of a truly free society is the vigor with which it protects the liberties of its individual citizens. As technology has advanced in America, it has increasingly encroached on one of those liberties--what I term the right of personal privacy. Modern information systems, data banks, credit records, mailing list abuses, electronic snooping, the collection of personal data for one purpose that may be used for another--all these have left millions of Americans deeply concerned by the privacy they cherish. And the time has come, therefore, for a major initiative to define the nature and extent of the basic rights of privacy and to erect new safeguards to ensure that those rights are respected.

Perception requires imagination because the data people encounter in their lives are never complete and always equivocal. For example, most people consider that the greatest evidence of an event one can obtain is to see it with their own eyes, and in a court of law little is held in more esteem than eyewitness testimony. Yet if you asked to display for a court a video of the same quality as the unprocessed data catptured on the retina of a human eye, the judge might wonder what you were tryig to put over. For one thing, the view will have a blind spot where the optic nerve attaches to the retina. Moreover, the only part of our field of vision with good resolution is a narrow area of about 1 degree of visual angle around the retina’s center, an area the width of our thumb as it looks when held at arm’s length. Outside that region, resolution drops off sharply. To compensate, we constantly move our eyes to bring the sharper region to bear on different portions of the scene we wish to observe. And so the pattern of raw data sent to the brain is a shaky, badly pixilated picture with a hole in it. Fortunately the brain processes the data, combining input from both eyes, filling in gaps on the assumption that the visual properties of neighboring locations are similar and interpolating. The result - at least until age, injury, disease, or an excess of mai tais takes its toll - is a happy human being suffering from the compelling illusion that his or her vision is sharp and clear. We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out “picture” is clear and accurate. But is it?

Perhaps we now need to engineer scarcity in our communications, in our interactions, and in the things we consume. Otherwise our lives become like a Morse code transmission that's lacking breaks - a swarm of noise blanketing the valuable data beneath.

Reality exists in the mind of each. The senses are input devices for incoming data.

Ratios matter in Data Science. Dreams should be big and worries small.

Signals always point to something. In this sense, a signal is not a thing but a relationship. Data becomes useful knowledge of something that matters when it builds a bridge between a question and an answer. This connection is the signal.

Search engines finds the information, not necessarily the truth.

Sometimes, it is not you who finds good ideas when you are seeking them. Instead, good ideas find you in the most unexpected circumstances.

The brain is machine which collects data, use it to collect data. Then use that data for a purpose!

The aggregate appearance is of dignity and dissoluteness. The aggregate voice is a defiant prayer. But the spirit of the whole is processional. The power, that has said to all these things that they are damned, is dogmatic science. But they'll march! The little harlots will caper and the freaks will distract the attention and the clowns will break the rhythm of the whole with their buffooneries. But the solidity of the procession as a whole, the solidity of things which pass and pass and pass, and keep on and keep on coming, the irresistibleness of things that neither threaten, nor jeer, nor defy, but arrange themselves in mass formations that pass and pass and keep on passing. So, by the damned, I mean the excluded.

The beauty in the genome is of course that it's so small. The human genome is only on the order of a gigabyte of data...which is a tiny little database. If you take the entire living biosphere, that's the assemblage of 20 million species or so that constitute all the living creatures on the planet, and you have a genome for every species the total is still about one petabyte, that's a million gigabytes - that's still very small compared with Google or the Wikipedia and it's a database that you can easily put in a small room, easily transmit from one place to another. And somehow mother nature manages to create this incredible biosphere, to create this incredibly rich environment of animals and plants with this amazingly small amount of data.

We have seen segments of our Government, in their attitudes and action, adopt tactics unworthy of a democracy, and occasionally reminiscent of totalitarian regimes. We have seen a consistent pattern in which programs initiated with limited goals, such as preventing criminal violence or identifying foreign spies, were expanded to what witnesses characterized as "vacuum cleaners", sweeping in information about lawful activities of American citizens. The tendency of intelligence activities to expand beyond their initial scope is a theme which runs through every aspect of our investigative findings. Intelligence collection programs naturally generate ever-increasing demands for new data. And once intelligence has been collected, there are strong pressures to use it against the target.

This extreme situation in which all data is processed and all decisions are made by a single central processor is called communism. In a communist economy, people allegedly work according to their abilities, and receive according to their needs. In other words, the government takes 100 per cent of your profits, decides what you need and then supplies these needs. Though no country ever realised this scheme in its extreme form, the Soviet Union and its satellites came as close as they could. They abandoned the principle of distributed data processing, and switched to a model of centralised data processing. All information from throughout the Soviet Union flowed to a single location in Moscow, where all the important decisions were made. Producers and consumers could not communicate directly, and had to obey government orders. For instance, the Soviet economics ministry might decide that the price of bread in all shops should be exactly two roubles and four kopeks, that a particular kolkhoz in the Odessa oblast should switch from growing wheat to raising chickens, and that the Red October bakery in Moscow should produce 3.5 million loaves of bread per day, and not a single loaf more. Meanwhile the Soviet science ministry forced all Soviet biotech laboratories to adopt the theories of Trofim Lysenko – the infamous head of the Lenin Academy for Agricultural Sciences. Lysenko rejected the dominant genetic theories of his day. He insisted that if an organism acquired some new trait during its lifetime, this quality could pass directly to its descendants. This idea flew in the face of Darwinian orthodoxy, but it dovetailed nicely with communist educational principles. It implied that if you could train wheat plants to withstand cold weather, their progenies will also be cold-resistant. Lysenko accordingly sent billions of counter-revolutionary wheat plants to be re-educated in Siberia – and the Soviet Union was soon forced to import more and more flour from the United States.

THIS JET ERA IS RUN/DRIVEN BY DATA. YOUR ANALYSIS WOULD DETERMINE YOUR VALIDITY.

To clarify, *add* data.

Todd was neuter, it seemed, except for the near-orgasmic pleasure he took from his formulas. Cono guessed that only a person who didn't really care for people could find personalities in equations, and friends in matrices. Todd spoke of data sets as if they were current or future lovers. Cono admired him for his ability to find joy beyond the secretory impulses that controlled most humans.

The internet changed the world with data. Netiquette is making it a better place with information. NetworkEtiquette.net

A curious mind does not jump to conclusions but tests carefully and thoroughly. A curious mind will draw on all of life's experience to get to the big "uh huh." The curious cut the data by quintile, by segment, and by user.

We usually learn from debates that we seldom learn from debates.

When flimsy cyber defense fails, Format Preserving Encryption prevails

You should be able to reconcile past events in a matter of seconds. However, if you do not know what is or has happened, you must take an offensive posture and actively seek out those agents and transactions based on multiple dimensions over time. This is the environment in which you will work and you must build a security model that can actively detect, monitor and pursue that activity.