Top 1200 Data Structures Quotes & Sayings - Page 2

Data is cost. It takes money to create data, store it, clean it, and throw resources at it to learn anything from it.

My answer to someone who is in contrast with me - by not seeing God in the scientific data - is that you don't see God in the scientific data because you're not me. I have other experiences than you have, that bring me to look at this data as enriching my experience of God.

Most of 'big data' is a fraud because it is really 'dumb data.'

We know now data is so powerful, and you can learn so much about yourself and creating product with data.

When I started out as an equity analyst, we had no securitization data. We relied on company data.

I was thinking recently, I've always loved the ocean. If I could do it all again, I might do an oceanography degree. You can do ocean archaeology, and I thought that might be fascinating to do - man-made structures, where the sea has risen above the structures.

Teach where data can be found or how it can be derived, not the recording of data.

I wanted to separate data from programs, because data and instructions are very different.

If you have just an emotion, you would not necessarily feel it. To feel an emotion, you need to represent in the brain in structures that are actually different from the structures that lead to the emotion, what is going on in the organs when you're having the emotion.

I believe that it's fine if the university wants to regulate, for example, bandwidth access, but they should treat the students data as private data.

Government and businesses cannot function without enormous amounts of data, and many people have to have access to that data.

What is clear is that users own their data and should have control of how their data is used.

Despite the value of open data, most labs make no systematic effort to share data with other scientists.

The Europeans have lots of data on the use of adjuvanted flu vaccine in the elderly, but I dont think anybody has really good data on adjuvants in children.

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.

I will never speculate on data. I always need to see data.

If we have data, let's look at data. If all we have are opinions, let's go with mine.

In the blockchain world, each user can and should own their data, and 'central' players are less vulnerable to data losses and breaches.

One of the things I enjoyed when working in manga was when I couldn't tell where anything was going because there weren't narrative tropes and structures I was used to. After doing it for seven years, I got to the point where I did see structures. I did start to learn, but at first I didn't know where it was going. It was very exciting for me.

We have way more unsupervised data in the world than supervised data.

If we are ever to cross the 100-nano barrier in electronics, we need to develop nano structures that let electrons move through, as they do through wires and semiconductors. And these structures must survive in the real world of air, water, boiling temperatures.

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.

We need a basic protection for people having access to their data and knowing where their data is.

Facts and theories are different things, not rungs in a hierarchy of increasing certainty. Facts are the world's data. Theories are structures of ideas that explain and interpret facts. Facts do not go away while scientists debate rival theories for explaining them. Einstein's theory of gravitation replaced Newton's, but apples did not suspend themselves in mid-air pending the outcome.

scientists ... resist ... making more of the data than the data make of themselves.

Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.

Every day we go over data and use science and data to drive policy and decision-making.

I love that the world is data intensive … unfortunately, it's called 'Big Data.'

Nobody should try to use data unless he has collected data.

The most important thing is that man should be the measure of all structures, including economic structures, and not that man be made to measure for those structures. The most important thing is not to lose sight of personal relationships - i.e., the relationships between man and his co-workers, between subordinates and their superiors, between man and his work, between this work and its consequences.

Random search for data on ... off-chance is hardly scientific. A questionnaire on 'Intellectual Immoralities' was circulated by a well-known institution. 'Intellectual Immorality No. 4' read: 'Generalizing beyond one's data'. [Wilder Dwight] Bancroft asked whether it would not be more correct to word question no. 4 'Not generalizing beyond one's data.

I promoted Hyderabad to the world by saying that there was privacy in India and their data will be sage. Data is wealth.

Outside the U.S., most data plans have a data limit.

On the allegation of withholding temperature data, we find that CRU was not in a position to withhold access to such data or tamper with it.

There are two sources of error: Either you lack sufficient data, or you fail to take advantage of the data that you have.

Data isn't information. ... Information, unlike data, is useful. While there's a gulf between data and information, there's a wide ocean between information and knowledge. What turns the gears in our brains isn't information, but ideas, inventions, and inspiration. Knowledge-not information-implies understanding. And beyond knowledge lies what we should be seeking: wisdom.

Rob Engle and I are concerned with extracting useful implications from economic data, and so the properties of the data are of particular importance.

Yelp is in a very nice spot: local data, and especially review data, is one of the killer apps on mobile phones.

The Europeans have lots of data on the use of adjuvanted flu vaccine in the elderly, but I don't think anybody has really good data on adjuvants in children.

EMA research evidences strong and growing interest in leveraging log data across multiple infrastructure planning and operations management use cases. But to fully realize the potential complementary value of unstructured log data, it must be aligned and integrated with structured management data, and manual analysis must be replaced with automated approaches. By combining the RapidEngines capabilities with its existing solution, SevOne will be the first to truly integrate log data into an enterprise-class, carrier-grade performance management system.

Data, data everywhere, but not a thought to think.

Data is the fabric of the modern world: just like we walk down pavements, so we trace routes through data, and build knowledge and products out of it.

There is so much information that our ability to focus on any piece of it is interrupted by other information, so that we bathe in information but hardly absorb or analyse it. Data are interrupted by other data before we've thought about the first round, and contemplating three streams of data at once may be a way to think about none of them.

I eventually realized that direct experience is the most valuable experience I can have. Western man is so surrounded by ideas, so bombarded with opinions, concepts, and information structures of all sorts, that it becomes difficult to experience anything without the intervening filter of these structures.

Design has a powerful impact on the viewer. It has authority, and data also has the same air of authenticity and detail. It can be hard to argue with a graph, and it's hard to argue with data. So to combine data with a strong visual impact creates a powerful message.

The social sciences, like much of biology but unlike most fields of the physical sciences, have to deal with structures of essential complexity, i.e. with structures whose characteristic properties can be exhibited only by models made up of relatively large numbers of variables.

Knowledge about limitations of your data collection process affects what inferences you can draw from the data.

For we have built into all of us, old blueprints of expectation and response, old structures of oppression and these must be altered at the same time that we alter the living condition which are the result of those structures. For the master's tool will never dismantle the master's house.

More data beats clever algorithms, but better data beats more data.

Welcome to the information age. Data, data, everywhere, but no one knows a thing.

While many big-data providers do their best to de-identify individuals from human-subject data sets, the risk of re-identification is very real.

If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.

If the data do not prove that indexing wins, well, the data are wrong.

While hard data may inform the intellect, it is largely soft data that generates wisdom.

As we become so visible in the digital world and leave an endless trail of data behind us, exactly who has our data and what they do with it becomes increasingly important.

To look at infidelity from the point of view of sex is a complete narrowing of the phenomenon. There's a reason that the commandment is repeated twice in the Bible - once for doing it and once for thinking about it. We have always created structures and broken structures. It is essential to the human spirit.

Size doesn't matter, fast data is better than big data

It amazes me how people are often more willing to act based on little or no data than to use data that is a challenge to assemble.

Data is the new science. Big Data holds the answers. Are you asking the right questions?

The banking industry has traditionally been characterized by physical branches, privileged access to financial data, and distinct expertise in analyzing such data.