Startups, Entrenchment, and the Adjacent Possible
Half-baked Philosophy of Startups Ahead
A while back Paul Graham wrote an essay asserting that Startup = Growth. It stuck in my mind because of how vehemently David Heinemeier Hannson of…
This is probably over-simplifying. In machine learning there’s this idea of bias/variance trade-off. Bias and variance are two classes of errors that a machine learning model can make.
Variance errors are kind of like the errors Bot A are prone to — seeing significance in variety where there is no real pattern.