Top 1200 Data Collection Quotes & Sayings

Explore popular Data Collection quotes.
Last updated on October 4, 2024.
Any time scientists disagree, it's because we have insufficient data. Then we can agree on what kind of data to get; we get the data; and the data solves the problem. Either I'm right, or you're right, or we're both wrong. And we move on. That kind of conflict resolution does not exist in politics or religion.
Companies that rely on licensing a proprietary dataset should expect to be outpaced by competitors using modern data collection techniques and more frequent updates and greater accuracy.
The number of maternal deaths is significantly understated because of a lack of effective data collection both in the US and around the world. — © Robin Lim
The number of maternal deaths is significantly understated because of a lack of effective data collection both in the US and around the world.
Once I found out that I was playing 'Deathlok,' I unearthed my old comic book collection. I was going home for Christmas, and I have a collection of thousands of comics. I was surprised to see that 90% of them were Marvel. So, I wanted to go through my collection and start there.
One of the myths about the Internet of Things is that companies have all the data they need, but their real challenge is making sense of it. In reality, the cost of collecting some kinds of data remains too high, the quality of the data isn't always good enough, and it remains difficult to integrate multiple data sources.
Knowledge about limitations of your data collection process affects what inferences you can draw from the data.
Biases and blind spots exist in big data as much as they do in individual perceptions and experiences. Yet there is a problematic belief that bigger data is always better data and that correlation is as good as causation.
Philosophers of science have repeatedly demonstrated that more than one theoretical construction can always be placed upon a given collection of data.
HERE's leadership was recognized by Frost & Sullivan, who noted that HERE stands apart for its knowledge and industry experience, impressive data collection ability, high level of personalization, revolutionary products, and wide ranging partnerships with nearly every OEM and system vendor.
I have a huge Lego collection - I have a really big Lego collection. We're talking pretty darn large. I also have a huge collection of original stainless steel Thomas the Tank Engine train toys. Beautiful little trains; they're my favorite thing in the world.
In my view, our approach to global warming exemplifies everything that is wrong with our approach to the environment. We are basing our decisions on speculation, not evidence. Proponents are pressing their views with more PR than scientific data. Indeed, we have allowed the whole issue to be politicized-red vs blue, Republican vs Democrat. This is in my view absurd. Data aren't political. Data are data. Politics leads you in the direction of a belief. Data, if you follow them, lead you to truth.
I started collecting baseball cards and basketball cards when I was younger. I have a CD collection that turned into a DVD collection, and I have a Jordan shoe collection. And I don't drink, but I have a wine collection. I just started a sweatshirt collection. Every city that I'm in, I buy a sweatshirt. It's just something that I do.
The USA FREEDOM Act ends the NSA's unfettered data collection program once and for all, while at the same time preserving the government's ability to obtain information to track down terrorists when it has sufficient justification and support for doing so.
Facebook collects a lot of data from people and admits it. And it also collects data which isn't admitted. And Google does too. As for Microsoft, I don't know. But I do know that Windows has features that send data about the user.
Being deeply knowledgeable on one subject narrows one's focus and increases confidence, but it also blurs dissenting views until they are no longer visible, thereby transforming data collection into bias confirmation and morphing self-deception into self-assurance.
There's something that happens with the collection of a large amount of data when it's dumped into an Excel spreadsheet or put into a pie chart. You run the risk of completely missing what it's about.
With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real... Big data isn't about bits, it's about talent.
There is no longer any anonymity on the Web - unless we mandate it. The most personal information about your online habits is collected, bought and sold, often instantaneously and invisibly. Data collection is a business driven by profits at consumers' expense.
It's interesting, but because I have my own collection, I actually almost never purchase jewelry unless it's sort of playful, whimsical pieces that are more fashion, a little less investment-oriented. Most of my personal jewelry collection is from my own collection. The pieces that get layered in tend to be gifts from my husband.
Everyone should acknowledge a simple truth: The heart and soul of today's Internet economy is the collection of data, mainly for use in targeted advertising. — © Michael O'Rielly
Everyone should acknowledge a simple truth: The heart and soul of today's Internet economy is the collection of data, mainly for use in targeted advertising.
Opponents of civil liberties contend the NSA data collection has made our country more safe, but even the most vocal defenders of the program have failed to identify a single thwarted plot.
But science is the collection of nature's answers; the humanities the collection of men's thoughts.
I have this data bank garbage can in the back of my head that is an emotional collection of events that have occurred in my life.
Cell-site data - like mailing addresses, phone numbers, and IP addresses - are information that facilitate personal communications rather than part of the content of those communications themselves. The government's collection of business records containing these data, therefore, is not a search.
With data collection, 'The sooner the better' is always the best answer.
Scientific data are not taken for museum purposes; they are taken as a basis for doing something. If nothing is to be done with the data, then there is no use in collecting any. The ultimate purpose of taking data is to provide a basis for action or a recommendation for action. The step intermediate between the collection of data and the action is prediction.
Analytical software enables you to shift human resources from rote data collection to value-added customer service and support where the human touch makes a profound difference.
The biggest mistake is an over-reliance on data. Managers will say if there are no data they can take no action. However, data only exist about the past. By the time data become conclusive, it is too late to take actions based on those conclusions.
If Senator Rubio were doing his job and in Congress more, he might know that the program 'phone records of a potential terrorist cause' continues. It's been ongoing for the last six months. So the Paris tragedy, this tragedy happened while we were still doing bulk collection, all bulk collection. Also in France, they have a program a thousand-fold more invasive, collecting all of the data of all of the French.
To many, mathematics is a collection of theorems. For me, mathematics is a collection of examples; a theorem is a statement about a collection of examples and the purpose of proving theorems is to classify and explain the examples.
When we miss with all the metadata collection we've had, the San Bernardino couple and the Tsarnaev brothers, what that suggests to me is that we are using the wrong algorithms to search through all this data.
Data!data!data!" he cried impatiently. "I can't make bricks without clay.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
Go out and collect data and, instead of having the answer, just look at the data and see if the data tells you anything. When we're allowed to do this with companies, it's almost magical.
There's a large percentage of mobile phones that now have a camera that's with you a lot of the time, and there's a lot of interest around those cameras as a data collection mechanism.
Every day, three times per second, we produce the equivalent of the amount of data that the Library of Congress has in its entire print collection, right? But most of it is like cat videos on YouTube or 13-year-olds exchanging text messages about the next Twilight movie.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
TIA was being used by real users, working on real data - foreign data. Data where privacy is not an issue. — © John Poindexter
TIA was being used by real users, working on real data - foreign data. Data where privacy is not an issue.
I was interested in data mining, which means analyzing large amounts of data, discovering patterns and trends. At the same time, Larry started downloading the Web, which turns out to be the most interesting data you can possibly mine.
People believe the best way to learn from the data is to have a hypothesis and then go check it, but the data is so complex that someone who is working with a data set will not know the most significant things to ask. That's a huge problem.
When dealing with data, scientists have often struggled to account for the risks and harms using it might inflict. One primary concern has been privacy - the disclosure of sensitive data about individuals, either directly to the public or indirectly from anonymised data sets through computational processes of re-identification.
We use nearly 5 thousand different data points about you to craft and target a message. The data points are not just a representative model of you. The data points are about you, specifically.
Every day, three times per second, we produce the equivalent of the amount of data that the Library of Congress has in it's entire print collection, right? But most of it is like cat videos on YouTube or thirteen-year-olds exchanging text messages about the next 'Twilight' movie.
The USA Freedom Act does not propose that we abandon any and all efforts to analyze telephone data, what we're talking about here is a program that currently contemplates the collection of all data just as a routine matter and the aggregation of all that data in one database. That causes concerns for a lot of people... There's a lot of potential for abuse.
I kept a notebook, a surreptitious journal in which I jotted down phrases, technical data, miscellaneous information, names, dates, places, telephone numbers, thoughts, and a collection of other data I thought was necessary or might prove helpful.
I'm not for the mass collection of data. I go the other way.
We're now going to develop the standards on transparency, data collection for police, but the whole goal is to fully integrate the police into the community because everybody has the same goals.
I sampled a bit of stuff from my dad's collection. He has probably a bigger record collection than I do. I try to buy as much as possible, because I've never been able to keep an MP3 collection organized. I like to keep my computers as clean as possible.
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.
We live in a world so utterly infused with digitality that it makes even the slightest action ripple across the collection of data bases we call the web.
Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.
If done correctly, dynamic scoring will provide a more complete picture of Congress's actions. This is exactly the type of modeling the private sector uses, and advances in data collection and analysis create an opportunity for it to be employed accurately.
We are all trained to be data driven people, but no hard data exist about the future. Therefore, the only way to look into the future with any degree of accuracy is to use theory, statements of what causes what and why. If executives have the right theories in their heads, they can very quickly interpret market developments. They can identify what matters and why, and act accordingly. So we suggest decision-makers should start by gaining a deep understanding of the relevant collection of theories, and then be alert for signals that indicate certain types of developments.
The point is, this is what happens when advertising and data collection is the dominant business mode. We are encouraged to be compulsive. It's not that we're terrible addicts who need to go to an AA meeting and get off our gadgets.
I'm kind of fascinated by this idea that we can surround ourselves with information: we can just pile up data after data after data and arm ourselves with facts and yet still not be able to answer the questions that we have.
I don't think bulk data collection was an enormous factor here, because generally, that deals with overseas calls to the United States. But what bulk data collection did was make the process more efficient. So there were no silver bullets there.
Hidden biases in both the collection and analysis stages present considerable risks and are as important to the big-data equation as the numbers themselves. — © Kate Crawford
Hidden biases in both the collection and analysis stages present considerable risks and are as important to the big-data equation as the numbers themselves.
Tape with LTFS has several advantages over the other external storage devices it would typically be compared to. First, tape has been designed from Day 1 to be an offline device and to sit on a shelf. An LTFS-formatted LTO-6 tape can store 2.5 TB of uncompressed data and almost 6 TB with compression. That means many data centers could fit their entire data set into a small FedEx box. With LTFS the sending and receiving data centers no longer need to be running the same application to access the data on the tape.
A data scientist is that unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data.
Books were rare,expensive, time-consuming to create and copy, and difficult to transport. That is why collections ofprint-based books developed around centers of religious belief, learning, and wealth. It was cheaper andeasier for people to come to the collection than for the collection, or parts of the collection, to go to thepeople.
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