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A conspiracy theorist is a person who tacitly admits that they have insufficient data to prove their points. A conspiracy is a battle cry of a person with insufficient data.
When writing gateway software of any kind, take pains to disturb the data stream as little as possible - and never throw away information unless the recipient forces you to!
I believe that the polling data that shows people give Obama 53% approval, I happen to think the polls are right. I just think people are not being honest with the pollster.
Uncontrolled access to data, with no audit trail of activity and no oversight would be going too far. This applies to both commercial and government use of data about people.
The best data we have [concerning the Big Bang] are exactly what I would have predicted, had I nothing to go on but the five books of Moses, the Psalms, the bible as a whole.
Risk models are a substitute for historical knowledge, because they tend to work with just three years' worth of data. But three years is not a long time in financial history.
[Women] tend to collect more pieces of data when they think, put them into more complex patterns, see more options and outcomes. They tend to be contextual, holistic thinkers.
There are a number of fascinating stories included in 'The Human Face of Big Data' that represent some of the most innovative applications of data that are shaping our future.
In the hands of Science and indomitable energy, results the most gigantic and absorbing may be wrought out by skilful combinations of acknowledged data and the simplest means.
We need intelligence services to fight against terrorism, but they have to respect the principles of good relationships between allies and protect personal, confidential data.
Take any old classification problem where you have a lot of data, and it's going to be solved by deep learning. There's going to be thousands of applications of deep learning.
I like facts and data because they help me think clearly, beyond the cultural messages that I ingest unwittingly, and sometimes find myself regurgitating almost unconsciously.
Wikipedia was offline after an overheating problem at one of its data centers. It was pretty bad. For a while there, people had nowhere to go for phony, inaccurate information.
Diving into data has never been more critical for businesses in order to make fast, accurate decisions about customer behaviors and needs and drive holistic business knowledge.
Education is not the piling on of learning, information, data, facts, skills, or abilities-that's training or instruction-but is rather making visible what is hidden as a seed.
Devices are getting smarter - your television, your car - and that means more data spread around. There needs to be a fabric that connects all these devices. That's what we do.
In Yemen, the United States conducted more drone strikes in 2016 than any year except 2012, the peak of the campaign in the country, according to data collected by New America.
We can inform decisions when we look at data points on retention rates with your first hundred users, when we look at things like survey responses from your first hundred users.
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.
As long as government is allowed to collect all Internet data, the perceived exigency will drive honest civil servants to reach more broadly and deeply into our networked lives.
In a world where data is coin of the realm, and transmissions are guarded by no better sentinels than man-made codes and corruptible devices, there is no such thing as a secret.
Smartphones can relay patients' data to hospital computers in a continuous stream. Doctors can alter treatment regimens remotely, instead of making patients come in for a visit.
We live in a society bloated with data yet starved for wisdom. We're connected 24/7, yet anxiety, fear, depression and loneliness is at an all-time high. We must course-correct.
The best mobile phone had the best mathematician. They know how to fit a huge amount of data into a small amount of space. How to do things efficiently, how to do them cleverly.
Social security, bank account, and credit card numbers aren't just data. In the wrong hands they can wipe out someone's life savings, wreck their credit and cause financial ruin.
The chief problem in historical honesty is not outright lying. It is omission or de-emphasis of important data. The definition of 'important', of course, depends on one's values.
I usually just try to do whatever's on the page because I've done research before - including a lot of analysis - but you end up with conflicting data. To me, the script is king.
Decentralized consensus technology will reach the mainstream when products are built that both empower consumers to take control of their own data and also offer users great UXs.
The data says that with the poor, a little money can buy a lot of happiness. If you're rich, a lot of money can buy you a little more happiness. But in both cases, money does it.
As a Facebook user, do I have control of the data Facebook keeps about me? Concretely: can I examine and modify that data using tools of my choosing which are built for my needs?
You want less of the annoying nonsense that interferes with your portfolios and more of the significant data that allow you to become a less distracted, more purposeful investor.
You have to have access to ideas. The Internet is facilitating that access to ideas. In 25 years, the way that data's going to flow back and forth, we don't quite understand yet.
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.
Whenever I see a forecast written out to two decimal places, I cannot help but wonder if there is a misunderstanding of the limitations of the data, and an illusion of precision.
In general, I found that the more that debates can be about facts and data, the more likely government is to make sound decisions that benefit innovators and the American people.
The library, with its Daedalian labyrinth, mysterious hush, and faintly ominous aroma of knowledge, has been replaced by the computer's cheap glow, pesky chirp, and data spillage.
Dell will participate in tablets and all sorts of client devices. Our main business is helping our customers secure, protect their data and access it from any device they want to.
Our chips keep getting faster, and our data rates keep climbing, but at the end of the day - or worse, by mid-afternoon - those power meters on our screens inevitably turn to red.
You can remain friends, even without EU membership. The Prüm Convention, according to which data for combatting crime is exchanged, is a good example of international cooperation.
By now, we all know that our every move online can be tracked and traced, and that, ideally, services learn from and adapt to customers based on an artful deployment of that data.
Most entrepreneurs are very gut driven - they have to be because the odds and data are often stacked against them. If your gut says something is the right thing to do, then do it.
We're rapidly entering a world where everything can be monitored and measured. But the big problem is going to be the ability of humans to use, analyze and make sense of the data.
By definition, big data cannot yield complicated descriptions of causality. Especially in healthcare. Almost all of our diseases occur in the intersections of systems in the body.
Hope consists in asserting that there is at the heart of being, beyond all data, beyond all inventories and all calculations, a mysterious principle which is in connivance with me
Recent data and research supports the importance of natural climate variability and calls into question the conclusion that humans are the dominant cause of recent climate change.
If you are interacting with anything on your phone or your computer, it is specifically designed to collect as much data about you as possible, so that that can then be monetized.
While NCLB drove important progress on transparency and data disaggregation, I think it's clear that the status quo in public education is not working for our kids or our country.
The paradigm shift of the ImageNet thinking is that while a lot of people are paying attention to models, let's pay attention to data. Data will redefine how we think about models.
TV producers want ratings and are willing to do nearly anything to get them. They gin up artificial conflicts and create an urgency for even the most minor of economic data points.
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.