Resources for Machine Learning class
E-M:
This has a pretty good example of k-means, which at least helps with the basic idea: http://www.ise.ufl.edu/pardalos/dm/k-means.pdf
Cross-validation basics:
http://www.cs.cmu.edu/~schneide/tut5/node42.html
ANOVA:
http://www.physics.csbsju.edu/stats/anova.html
http://www.uwsp.edu/psych/stat/12/anova-1w.htm
Bayes:
Still working on some links for this.
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