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The decision to manipulate the surrounding world–- machine learning systems don't have the slightest bit of that.
It is applicable to any subjects and learning systems.
Nevertheless, learning systems do not generally adapt to learners' profiles.
The strange thing about these machine learning systems, though, is how opaque they are to analysis.
"FeatureFu could become a common technique for many machine learning systems," he said.
Google is hardly the only major tech company building machine learning systems.
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Many of current e-learning systems enable personalised learning.
E-learning systems usually require many hardware and software resources.
Today, it's time for a huge disruption-learning systems.
Deep-learning systems for breast and heart imaging have already been developed commercially.
Deep-learning systems have recently outperformed humans in certain limited recognition tests.
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