A high bias low-variance introduction to Machine Learning for physicists
I get the idea that the title "High Bias, Low Variance" is some sort of reference or pun, but I'm not quite getting it...<p>I mean, I know that there's a bias-variance tradeoff in stats and ML, but what does it mean in the context of introduction to ML for physicists?<p>My guess is they mean they aren't going into as heavy detail in ML, which means the reader may lack some knowledge (high bias) but won't miss the forest/wood for the trees (low variance).<p>Anyone else care to speculate?