TWO of our most vital industries, health care and education, have become increasingly subjected to metrics and measurements. Of course, we need to hold professionals accountable. But the focus on numbers has gone too far. We’re hitting the targets, but missing the point.
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Great resource for educators. Possibility of student contributions.
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Great resource to science etc, also students could create their own content.
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Google no longer understands how its "deep learning" decision-making computer systems have made themselves so good at recognizing things in photos. This means the internet giant may need fewer experts in future as it can instead rely on its semi-autonomous, semi-smart machines to solve problems all on their own. The claims were made at the Machine Learning Conference in San Francisco on Friday by Google software engineer Quoc V. Le in a talk in which he outlined some of the ways the content-slurper is putting "deep learning" systems to work. (You find out more about machine learning, a computer science research topic, here [PDF].)
0204.dvi - 0204.pdf - 0 views
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Google no longer understands how its "deep learning" decision-making computer systems have made themselves so good at recognizing things in photos. This means the internet giant may need fewer experts in future as it can instead rely on its semi-autonomous, semi-smart machines to solve problems all on their own. The claims were made at the Machine Learning Conference in San Francisco on Friday by Google software engineer Quoc V. Le in a talk in which he outlined some of the ways the content-slurper is putting "deep learning" systems to work. (You find out more about machine learning, a computer science research topic, here [PDF].)
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Learning Science through Inquiry -- Smithsonian . . . need for transferrable learning in this area.
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We also need more research on quality measurement and comparing different patient populations. The only way to understand whether a high mortality rate, or dropout rate, represents poor performance is to adequately appreciate all of the factors that contribute to these outcomes — physical and mental, social and environmental — and adjust for them.
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He developed what is known as Donabedian’s triad, which states that quality can be measured by looking at outcomes (how the subjects fared), processes (what was done) and structures (how the work was organized).
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