"The norm is that of a lonely life for the data scientist. Whether they lie near analytics, machine learning, or elsewhere in the large latent space that spans this ill-defined role, just like in the curse of high-dimensionality, they are likely alone."
Read it!"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."
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