Comment by ced

I haven't read much on gradient boosting, so questions:

1. Where is the gradient? This explanation makes it sound like a straight Generalized Additive Model.

2. In fact, the explanation makes it sounds worse than random forests. Wouldn't it quickly overfit? Where does the boosting come into play?