The author is a Forbes contributor. See also: Vardi, Science has only two legs: http://portal.acm.org/ft_gateway Here are some resources Ive collected about working with data, I hope you find them useful (note: Im an undergrad student, this is not an expert opinion in any way). 1) Learn about numerical analysis Take the Computational Linear Algebra course (it is sometimes called Applied Linear Algebra or Matrix Computations or Numerical Analysis or Matrix Analysis and it can be either CS or Applied Math course). Crays and Connection Machines of the past can now be replaced with farms of cheap cloud instances, the computing costs dropped to less than $1.80/GFlop in 2011 vs $15M in 1984: http://en.wikipedia.org/wiki/FLOPS .
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