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Making programmers awesome at machine learning
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Strength in Numbers
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Sharing concepts, ideas, and codes. - Medium
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Analytics, Data Mining, and Data Science
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“Often enough, scientists are left with the unenviable task of conducting an orchestra with out-of-tune instruments”
Evaluating MCMC samplers
“When are Bayesian model probabilities overconfident?” . . . and we’re still trying to get to meta-Bayes
Whooping cough! How to respond to fatally-flawed papers? An example, in a setting where the fatal flaw is subtle, involving a confounding of time and cohort effects
R news and tutorials contributed by (563) R bloggers
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