Machine Learning: Ensemble Methods by Ricky Ho.
Ricky gives a brief overview of ensemble methods in machine learning.
Not enough for practical application but enough to orient yourself to learn more.
From the post:
Ensemble Method is a popular approach in Machine Learning based on the idea of combining multiple models. For example, by mixing different machine learning algorithms (e.g. SVM, Logistic regression, Bayesian network), ensemble method can automatically pick the best algorithmic model that fits the data the best. On the other hand, by mixing different parameter set of the same algorithmic model (e.g. Random forest, Boosting tree), it can pick the best set of parameters of the same algorithmic model.