In China, Internet surveillance has already become a profitable industry. In fact, a growing number of private firms eagerly assist the local police by aggregating this data and presenting it in easy-to-browse formats, allowing humans to pursue more analytical tasks.
The great temptation of Big Data is that we can stop worrying about comprehension and focus on preventive action instead. Instead of wasting precious public resources on understanding the 'why' - i.e., exploring the reasons as to why terrorists become terrorists - one can focus on predicting the 'when' so that a timely intervention could be made.
The once-science-fiction notion of hyper-connectivity - where we are all constantly connected to social networks and other bubbling streams of digital data - has rapidly become a widespread reality.
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.
Everyone knows, or should know, that everything we type on our computers or say into our cell phones is being disseminated throughout the datasphere. And most of it is recorded and parsed by big data servers. Why do you think Gmail and Facebook are free? You think they're corporate gifts? We pay with our data.
There were 5 Exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days.
I had ... come to an entirely erroneous conclusion, which shows, my dear Watson, how dangerous it always is to reason from insufficient data.
Analyse data just so far as to obtain simplicity and no further.
In a single sentence the moral is: admit that complexity always increases, first from the model you fit to the data, thence to the model you use to think about and plan about the experiment and its analysis, and thence to the true situation.
Empathic listening is so powerful because it gives you accurate data to work with. Instead of projecting your own autobiography and assuming thoughts, feelings, motives and interpretation, you're dealing with the reality inside another person's head and heart. You're listening to understand. You're focused on receiving the deep communication of another human soul.
What we call our data are really our own constructions of other people’s constructions of what they and their compatriots are up to.
Take the situation of a scientist solving a problem, where he has certain data, which call for certain responses. Some of this set of data call for his applying such and such a law, while others call for another law.
Everyone has options. They are a fixed set of predetermined scenarios, points of view, perceived limitations that already reside in your data bank. If you depend on your options to formulate your future, that future will be no more than a rearrangement of your past. Then he says, “Possibilities are completely different. When you ask ‘what is possible?’ you must stretch your imagination out of the confines of the familiar. To live a life beyond the mediocre, ask not ‘what are my options?’ but ‘What is possible?’
There's a lot of differing data [about global warming], but as far as I can gather, over the last hundred years the temperature on this planet has gone up 1.8 degrees. Am I the only one who finds that amazingly stable? I could go back to my hotel room tonight and futz with the thermostat for three to four hours. I could not detect that difference.
This years keynote session is a clear reminder that wireless data technology is expanding its reach beyond that of an alternative to wireline telephony. We have gathered an exclusive group of business leaders to share how wireless is being integrated into their companys business strategies and what it means for their bottom lines. The presence of these telecom, media and entertainment giants on our center stage is a great indicator of the impact wireless data has made on countless industries.
My study is NOT as a climatologist, but from a completely different perspective in which I am an expert … For decades, as a professional experimental test engineer, I have analyzed experimental data and watched others massage and present data. I became a cynic; My conclusion - 'if someone is aggressively selling a technical product who's merits are dependent on complex experimental data, he is likely lying'. That is true whether the product is an airplane or a Carbon Credit.
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.
Statistics may be defined as the discipline concerned with the treatment of numerical data derived from groups of individuals.
When evaluating a model, at least two broad standards are relevant. One is whether the model is consistent with the data. The other is whether the model is consistent with the 'real world.'
Years ago a statistician might have claimed that statistics deals with the processing of data. . . to-days statistician will be more likely to say that statistics is concerned with decision making in the face of uncertainty.
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.
To me, the main weakness of EDA is its failure to enquire why the data were collected in the first place and its consequent tendency to apply ingenious methods largely because they are so attractively ingenious.
I don't see the logic of rejecting data just because they seem incredible.
The purpose of models is not to fit the data but to sharpen the question.
Statistics is the branch of scientific method which deals with the data obtained by counting or measuring the properties of populations of natural phenomena.
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