brief summary of bagging and boosting

-ensmble learning: use different ways to learn the data
-bagging: use differennt method to select data, use them as samples and put them into hypothesis
-combines simple learner(hypothesis) into complex one
-boosting is really great and has no overffiting problem(kind of)