Hands-On Ensemble Learning with R

Ensembletechniquesareusedforcombiningtwoormoresimilarordissimilarmachinelearningalgorithmstocreateastrongermodel.Suchamodeldeliverssuperiorpredictionpowerandcangiveyourdatasetsaboostinaccuracy.Hands-OnEnsembleLearningwithRbeginswiththeimportantstatisticalresamplingmethods.Youwillthenwalkthroughthecentraltrilogyofensembletechniques–bagging,randomforest,andboosting–thenyou'lllearnhowtheycanbeusedtoprovidegreateraccuracyonlargedatasetsusingpopularRpackages.Youwilllearnhowtocombinemodelpredictionsusingdifferentmachinelearningalgorithmstobuildensemblemodels.Inadditiontothis,youwillexplorehowtoimprovetheperformanceofyourensemblemodels.Bytheendofthisbook,youwillhavelearnedhowmachinelearningalgorithmscanbecombinedtoreducecommonproblemsandbuildsimpleefficientensemblemodelswiththehelpofreal-worldexamples.