Data Quotes
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I was looking for something like baseball, where there's a lot of data and the competition was pretty low. That's when I discovered politics.
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If the Numerai fund performs well, that should lead to more assets under management, which should lead to more revenue for Numerai's general partner, which should lead to higher payouts for the data scientists, which implies a higher Numeraire valuation.
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One problem I have with drug companies is that they don't make all their data public.
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The library, with its Daedalian labyrinth, mysterious hush, and faintly ominous aroma of knowledge, has been replaced by the computer's cheap glow, pesky chirp, and data spillage.
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Taken with the archaeological data, we can say that the old hypothesis of an invasion of people - not merely their language - from the steppe appears to be true.
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I think you can have a ridiculously enormous and complex data set, but if you have the right tools and methodology then it's not a problem.
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CloudShield did not see itself as a cloak-and-dagger company. It made its name for high-end hardware that could peer deeply into Internet traffic and pull out and analyze 'packets' of data as they flew by.
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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.
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One thing that we learned that we published on our blog post is that uniformly, men lie about their height by almost exactly two inches. So if you look at a plot of census bureau data on the distribution of men's heights in the U.S. and you plot men's heights on OKCupid, it is exactly shifted two inches to the left.
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We are not at the same place we were in 1973. This country today is drifting, moving steadily towards the pro-life position because the data is with us.
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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.
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The long-term value proposition for cellphone companies isn't just voice conversation - it's transfer of data.
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The nice thing about Reddit is, we don't have to sell your data or build a profile of you or do stuff that makes people feel uncomfortable.
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Our entire brand is about transparency. We want that data out there because you know what? If you are only getting one in three messages replied to, you're normal. You're right there in the middle of everything with everyone else.
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In computer circles, any unencrypted data is known as 'cleartext.'
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Yearly data put the rest of the noise into perspective. Most of the weekly or monthly random up-and-down movements get smoothed out. Ultimately, this is where long-term investors should be focused.
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Seriously, we are in the midst of the convergence of voice and data and that is challenging the infrastructure of the telephone companies. There are huge commercial interests in the basic technology, but even more so in content delivery and control of content.
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Most of the time, economic data is fairly benign. I don't wish to imply it is meaningless, but it is not a driver of stock markets. Indeed, the correlation between economic noise and how equity markets perform has been wildly overemphasized.
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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.
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Knowledge is organized data. For it to be shelved as human knowledge it's got to be predictable, repeatable, all the basics of scientific validation have to be there.
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We should be individualizing instruction, utilizing that data to actually give teachers the tools necessary to meet the needs of a very diverse group of kids which exists in every class.
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Our intention and aspiration is to continue building out thematic information about every subject - basemaps, imagery, demographics, landscape data, etc. - so anyone can use it to access thousands of authoritative maps.
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No observational problem will not be solved by more data.
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The data are what matter in economics, and the more ruthlessness that an economist can summon to make sense of the data, the more useful his findings will be.
