It would be great to have every engineer have at least some amount of knowledge of machine learning.
Jeff DeanRead
Supervised learning works so well when you have the right data set, but ultimately unsupervised learning is going to be a really important component in building really intelligent systems - if you look at how humans learn, it's almost entirely unsupervised.
Interpretation
This quote emphasizes the importance of both supervised and unsupervised learning in artificial intelligence, likening machine learning to human learning.
Jeff Dean highlights the dual importance of supervised and unsupervised learning in the development of intelligent systems. While supervised learning relies on labeled data, unsupervised learning reflects the way humans often learn from unstructured information, suggesting that for machines to achieve true intelligence, they must adopt unsupervised techniques akin to human cognitive processes.
In practice
During a technology conference, a speaker could use this quote to illustrate the future of AI development.
It would be great to have every engineer have at least some amount of knowledge of machine learning.
We want to build systems that can generalize to a new task. Being able to do things with much less data and with much less computation is going to be interesting and important.
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.
Some people are happy to work in a particular domain or some field of computer science for years, and years. I personally like to kind of move around every few years, just to learn about new areas.
I like working in small teams where people on the team have very different skills than what I have and that banter back and forth, and the ability to build something collectively that none of you could do individually is actually a really useful and valuable thing.
The act of smelling something, anything, is remarkably like the act of thinking. Immediately at the moment of perception, you can feel the mind going to work, sending the odor around from place to place, setting off complex repertories through the brain, polling one center after another for signs of re recognition, for old memories and old connection.
Ever since Newton, we've done science by taking things apart to see how they work. What the computer enables us to do is to put things together to see how they work: we're now synthesized rather than analysed. I find one of the most enthralling aspects of computers is limitless communication.
The danger is that the compromises and special interests inherent in Kyoto-style targets and cap-and-trade will be accepted because of bureaucratic momentum.
It science involves an intelligent and persistent endeavor to revise current beliefs so as to weed out what is erroneous, to add to their accuracy, and, above all, to give them such shape that the dependencies of the various facts upon one another may be as obvious as possible.
The smaller the planets are, they are, other things being equal, of so much the greater density; for so the powers of gravity on their several surfaces come nearer to equality. They are likewise, other things being equal, of the greater density, as they are nearer to the sun.
You can prove anything you want by coldly logical reason---if you pick the proper postulates.
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