There's nothing so unreliable as figures, and everybody but a mathematician knows that. Figures lie right to your face.
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
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.
Emphasize your strengths on your resume, in your cover letters and in your interviews. It may sound obvious, but you'd be surprised how many people simply list everything they've ever done. Convey your passion and link your strengths to measurable results. Employers and interviewers love concrete data.
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.
The stories circulating that Kanye West's laptop has been stolen are completely false. His laptop has never been out of his possession. Hence, the laptop has not been hacked, and there has been no leak of personal data such as unreleased music, photographs, designs, videos or any other personal files. The leak today of the unreleased track 'Awesome' was unrelated and completely coincidental.
figures are clear and open, they hold nothing hidden, no secret they will not tell.
Prepare for every negotiation... 1) Focus on Outcomes. What is it that you want to walk away with? Being as specific as possible also increases the likelihood of negotiation success. 2) Support your desired outcome with data that points to its reasonableness. 3) Writing down your key points in advance - and practicing them - enables you to stay focused on what's most important and avoid going off on tangents. 4) Err on the side of asking for more, rather than less [of what you really want]. 5) Be willing to walk away.
At the global level, there are a growing number of city-based bike-sharing programs, that take advantage of mobile devices to reserve your bike, keep track of it, and collect data that helps to improve the service.
I felt that the biological clock was some myth to keep me from doing what I wanted to do. And so I rebelled against it in the '90s. I thought it was a backlasher, some sort of faulty data. But it's real. I'm glad I woke up before my body was just like 'uh-uh.
The literature has become too vast to comprehend...It is...difficult to grasp even for workers in closely neighboring fields. ...There is much more reliance on word of mouth for the transmission of scientific data...gossip.
Not sense data or atoms or electrons or packets of energy, but purposes, interests, and meanings, constitute the underlying facts of human experience.
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.
To get high data transfer rates in communicating information, you would love to use optical fibers. The problem is that light is extremely hard to manipulate. So we make a perfect copy of the information carried by the light. We transfer it to matter - the condensate.
While the creative works from the 16th century can still be accessed and used by others, the data in some software programs from the 1990s is already inaccessible. Once a company that produces a certain product goes out of business, it has no simple way to uncover how its product encoded data. The code is thus lost, and the software is inaccessible. Knowledge has been destroyed.
In a world without love, this is what people are to each other: values, benefits, and liabilities, numbers and data. We weigh, we quantify, we measure, and the soul is ground to dust.
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.
Most companies don't want their data co-mingled with other customers. Small companies will tolerate it.
Those fields which most depend upon authoritative opinion for their data least contain known natural law.
The mind when it has an old experience will add that data into its current experience, and it keeps coming up with wrong answers.
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.
While data can only tell you what has happened in the past, it can in some ways give you a sense of what might be of interest to an audience in the future.
Now companies tend to mine gigantic databases for insights into what might happen six months from now. That might always be valuable, but there's a different kind of value - and a competitive edge - in processing ongoing streams of data through a software model that can quickly and constantly make predictions about, say, whether a certain customer is going to defect, or an aircraft is going to run into trouble.
Babies have not yet chunked anything. They aren't doing any high level thinking. All they're doing is sucking in all the data they experience in the world around them, and remembering it, raw. It's basically what extreme savants have happen in their brains.
Eventually, we need to have computers that work differently from the way they do today and have for the past 60-plus years. We're capturing and generating increasingly massive amounts of data, but we can't make computers that keep up with it. One of the most promising solutions is to make computers that work more the way brains work.
