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...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?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).Anyone else care to speculate?