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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.
Jeff Dean
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Interpretation

What this quote means

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.

Themes

LearningIntelligenceDataUnsupervisedSupervisedSystems

In practice

Example use cases

During a technology conference, a speaker could use this quote to illustrate the future of AI development.

More from Jeff Dean

It would be great to have every engineer have at least some amount of knowledge of machine learning.
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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.
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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.
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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.
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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.
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