"Despite this admonition, people are overconfident in claiming correlations to support favored causal interpretations and are surprised by the results of randomized experiments, suggesting that they are biased & systematically underestimate the prevalence of confounds / common-causation."
Read it!"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!Overfitting the validation set occurs when multiple settings are tested and compared using the same validation set repeatedly until satisfactory performance is achieved.
Read it!