A Quote by Jeff Dean

It's pretty clear that machine learning is going to a big part of science and engineering. — © Jeff Dean
It's pretty clear that machine learning is going to a big part of science and engineering.
We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.
We're plugged in 24 hours a day now. We're all part of one big machine, whether we are conscious of that or not. And if we can't unplug from that machine, eventually we're going to become mindless.
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.
Aeroplanes are not designed by science, but by art in spite of some pretence and humbug to the contrary. I do not mean to suggest that engineering can do without science, on the contrary, it stands on scientific foundations, but there is a big gap between scientific research and the engineering product which has to be bridged by the art of the engineer.
Transportation, with self-driving vehicles, is going to be a big use of machine learning.
Shiv Nadar University has five schools with 16 departments offering 14 undergraduate, 10 master's and 13 doctoral programmes. The demand for engineering courses - computer science, engineering, electronics, communication engineering, mechanical engineering - is slightly on the higher side compared to other engineering courses.
Engineering is not merely knowing and being knowledgeable, like a walking encyclopedia; engineering is not merely analysis; engineering is not merely the possession of the capacity to get elegant solutions to non-existent engineering problems; engineering is practicing the art of the organizing forces of technological change ... Engineers operate at the interface between science and society.
I hated science in high school. Technology? Engineering? Math? Why would I ever need this? Little did I realize that music was also about science, technology, engineering and mathematics, all rolled into one.
Science is the engine of prosperity. All the prosperity we see around us is a byproduct of scientific inventions. And that's not being made clear to young people. If we can't make it clear to young people they're not going to go into science. And science will suffer in the United States.
There's a lot of work in machine learning systems that is not actually machine learning.
Engineering is not a science. Science studies particular events to find general laws. Engineering design makes use of the laws to solve particular practical problems. In this it is more closely related to art or craft.
Machine learning is the science of getting computers to learn without being explicitly programmed.
I'd imagine the whole world was one big machine. Machines never come with any extra parts, you know. They always come with the exact amount they need. So I figured, if the entire world was one big machine, I couldn't be an extra part. I had to be here for some reason.
Especially girls, but any kids exposed to music programs and arts programs do much better on their tests. They have a better chance of going to college. They can focus better. You know, we're not just automatons learning how to work machines and do engineering and math and science. All of that's great, but you've got to build a whole person.
Both social engineering and technical attacks played a big part in what I was able to do. It was a hybrid. I used social engineering when it was appropriate, and exploited technical vulnerabilities when it was appropriate.
You need to use data science and machine learning to get the ground truth of what's happening inside of a company.
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