A Quote by Jeff Dean

There's a lot of potential for machine learning all around the world. We're seeing it in academia, at other companies, in government. — © Jeff Dean
There's a lot of potential for machine learning all around the world. We're seeing it in academia, at other companies, in government.
A lot of the progress in machine learning - and this is an unpopular opinion in academia - is driven by an increase in both computing power and data. An analogy is to building a space rocket: You need a huge rocket engine, and you need a lot of fuel.
When you think about Twitter, there are people all around the world reporting twenty-four seven, every second. They're reporting what they're seeing and what's happening around them. So there's a lot of potential for breaking news.
There's a lot of work in machine learning systems that is not actually machine learning.
Previously, we might use machine learning in a few sub-components of a system. Now we actually use machine learning to replace entire sets of systems, rather than trying to make a better machine learning model for each of the pieces.
There is this tremendous body of knowledge in the world of academia where extraordinary numbers of incredibly thoughtful people have taken the time to examine on a really profound level the way we live our lives and who we are and where we've been. That brilliant learning sometimes gets trapped in academia and never sees the light of day.
And initially, a lot of companies avoid trying to make a really radical new kind of title for a new system, because that would involve learning a new machine and learning how to make the new title at the same time.
Government has learned a lot from the business world - and I hope that some companies will recognise they can learn from each other, too.
We do all that [ represent companies], because we have a lot of research in Japanese companies, and that research educates investors around the world. It allows us to sell stocks and bonds in Japanese companies.
A lot of human learning comes from unsupervised learning where you're just sort of observing the world around you and understanding how things behave.
Going into my second Summer League, I felt like I had more knowledge. Just being around the game and learning your routines, and just learning from other guys that you're around, you feel like you pick up on a lot of stuff.
Who is all-powerful in the world? Who is most dreadful in the world? The machine. Who is most fair, most wealthy, and all-wise? The machine. What is the earth? A machine. What is the sky? A machine. What is man? A machine. A machine.
We've seen the government give out subsidies to companies, those companies turn around and use it for executive bonuses.
I am seeing change at earlier stage start-up companies. For a lot of big companies, the ship has sailed. They are trying to bolt on diversity and inclusion.
The urgent need today is to develop and support leaders on every level of government who are independent of the bossism of every political machine - the big-city machine, the liberal Democrat machine, and the Republican kingmaker machine.
I can't in good conscience allow the U.S. government to destroy privacy, internet freedom and basic liberties for people around the world with this massive surveillance machine they're secretly building.
Learning lessons is a little like reaching maturity. You're not suddenly more happy, wealthy, or powerful, but you understand the world around you better, and you're at peace with yourself. Learning life's lessons is not about making your life perfect, but about seeing life as it was meant to be.
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