A Quote by Larry Page
We chose it because we deal with huge amounts of data. Besides, it sounds really cool.
Related Quotes
There's huge amounts of nonsense that goes with everything surrounding music and art. All the things you have to do promote yourself - there's huge amounts of nonsense.
There's no huge mystery. If you dig up huge amounts of carbon, huge amounts of ancient biology, hundreds of millions of year's worth of ancient biology, and flush it into the atmosphere in a matter of decades, then it stands to reason that we're going to have enormous effects, and now we can see those effects all around us.
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.
Government and businesses cannot function without enormous amounts of data, and many people have to have access to that data.
Money is a huge issue for manic depressives. Sometimes the problem is not nearly on the same scale as it has been for me, but nonetheless, it's difficult to deal with. Many get themselves into debt that can take years to clear up, write bad cheques, shoplift and borrow huge amounts from family and friends.
He wondered vaguely whether in the abolished past it had been a normal experience to lie in bed like this, in the cool of a summer evening, a man and a woman with no clothes on, making love when they chose, talking of what they chose, not feeling any compulsion to get up, simply lying there and listening to peaceful sounds outside. Surely there could never have been a time when that seemed ordinary?
Meat production is one of the leading causes of climate change because of the destruction of the rainforest for grazing lands, the massive amounts of methane produced by farm animals and the huge amounts of water, grain and other resources required to feed animals.
I've always believed that human learning is the result of relatively simple rules combined with massive amounts of hardware and massive amounts of data.
Data scientists are statisticians because being a statistician is awesome and anyone who does cool things with data is a statistician.
Emotion AI uses massive amounts of data. In fact, Affectiva has built the world's largest emotion data repository.
I never had huge amounts of money when I was young. I had huge amounts of fame, and I always had the sense of labor and recompense. I always said I don't want to work for pay, but I want to get paid for my song.
That was pretty cool [Life With Mikey]. Michael J. Fox at the time was huge. I was like, "Whoa, he's a real bona fide movie star!" I was a kid. It was a huge deal. That's kind of it. We shot it in Toronto, and a little bit in New York.
I'm a geek through and through. My last job at Microsoft was leading much of the search engine relevance work on Bing. There we got to play with huge amounts of data, with neural networks and other AI techniques, with massive server farms.
The president has been a true friend of the ag industry, because he continues to invest large amounts of money at a time when savings is really the goal of the federal government to deal with the deficit.
The most interesting to me were Doctor Strange, because he was so mystic, and Thor, because that was really cool. I mean, I had never been able to relate to the idea of a bearded guy in the sky, you know, and I'd always really liked mythology, and with Thor, it was like Stan Lee was actually saying, "Yeah, it's okay, there really is this Nordic god, there really is something besides the bearded guy in the sky". So I loved that!
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.
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