"What do R2, laboratory error analysis, ensemble learning, meta-analysis, and financial portfolio risk all have in common? The answer is that they all depend on a fundamental principle of statistics that is not as widely known as it should be. Once this principle is understood, a lot of stuff starts to make more sense."
Read it!A five-step method for transitioning from problem to data-backed decision making.
Read it!Using Sketch-RNN as a probability estimator to identify the worst sketches of flamingos in 'Quick, Draw!'.
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