"In online machine learning, the idea is that your model is only allowed to learn from one example at a time. This is contrast to batch learning where all the available data is processed at once."
Read it!"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!