Model Ensembling to Reduce Error

Technical but nicely done piece, with code and intuitive arguments as to value.  Via O'Reilly:

An introduction to model ensembling by Jovan Sardinha

Model ensembling represents a family of techniques that help reduce generalization error in machine learning tasks. In this article, I will share some ways that ensembling has been employed and some basic intuition on why it works.  .... "