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http://www.talyarkoni.org/blog/2011/12/17/large-scale-data-exploration-mic-style/

[citation needed]» Blog Archive » large-scale data exploration, MIC-style

UPDATE 2/8/2012: Simon & Tibshirani posted a critical commentary on this paper here . See additional thoughts here . Real-world data are messy. Relationships between two variables can take on an infinite number of forms, and while one doesn’t see, say, umbrella-shaped data very often, strange things can happen. When scientists talk about correlations or associations between variables, they’re usually referring to one very specific form of relationship–namely, a linear one.
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http://www.khanacademy.org/ Matrices, vectors, vector spaces, transformations. Covers all topics in a first year college linear algebra course. This is an advanced course normally taken by science or engineering majors after taking at least two semesters of calculus (although calculus really isn't a prereq) so don't confuse this with regular high school algebra.
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