Currently the way you solve problems is you have expertise and data and computation. Can we eliminate the need for a lot of machine-learning expertise?

One set of experiments from Google’s DeepMind group suggests that what researchers are terming “learning to learn” could also help lessen the problem of machine-learning software needing to consume vast amounts of data on a specific task in order to perform it well.

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Original Source: MIT Technology Review