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Michael Nielsen » The Google Technology Stack
Part of what makes Google such an amazing engine of innovation is their internal technology stack: a set of powerful proprietary technologies that makes it easy for Google developers to generate and process enormous quantities of data. According to a senior Microsoft developer who moved to Google, Googlers work and think at a higher level of abstraction than do developers at many other companies, including Microsoft: “Google uses Bayesian filtering the way Microsoft uses the if statement” (Credit: Joel Spolsky). This series of posts describes some of the technologies that make this high level of abstraction possible.
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Data Mining You to Death: Does Google Know Too Much? - SPIEGEL ONLINE - News - International
Tasty Data Goodies: Data mining: the theory of everything?
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There is no denying the importance of new data
technology, but Anderson fails to recognize that data mining cannot
replace science. -
the "what" doesn't really matter without the "why."
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The Reality Club: THE END OF THEORY
George Dyson, Kevin Kelly and Stewart Brand's responses to Chris Anderson's article
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My guess is that this emerging method will be one additional tool in the evolution of the scientific method. It will not replace any current methods (sorry, no end of science!) but will compliment established theory-driven science.
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I do not see why large amounts of data will undermine the scientific method.
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What Good is a Theory? | Cosmic Variance
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Understanding is a good thing, and in some sense is the primary goal of science.
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Theory is understanding, and understanding our world is what science is all about.
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