Now that you've got a good sense of how to "speak" R, let's use it with linear regression to make distinctive predictions. The R system has three components: a scripting language, an interactive ...

Logistic regression ... output p using curr wts for-each weight: wts[j] += lrn_rate * x[j] * (y - p) bias += lrn_rate * x[j] * (y - p) end-loop The weight update equation is short but is very subtle. ...