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Hands-On Ensemble Learning with R
最新章節：
R package references
Ensembletechniquesareusedforcombiningtwoormoresimilarordissimilarmachinelearningalgorithmstocreateastrongermodel.Suchamodeldeliverssuperiorpredictionpowerandcangiveyourdatasetsaboostinaccuracy.Hands-OnEnsembleLearningwithRbeginswiththeimportantstatisticalresamplingmethods.Youwillthenwalkthroughthecentraltrilogyofensembletechniques–bagging,randomforest,andboosting–thenyou'lllearnhowtheycanbeusedtoprovidegreateraccuracyonlargedatasetsusingpopularRpackages.Youwilllearnhowtocombinemodelpredictionsusingdifferentmachinelearningalgorithmstobuildensemblemodels.Inadditiontothis,youwillexplorehowtoimprovetheperformanceofyourensemblemodels.Bytheendofthisbook,youwillhavelearnedhowmachinelearningalgorithmscanbecombinedtoreducecommonproblemsandbuildsimpleefficientensemblemodelswiththehelpofreal-worldexamples.
最新章節
- R package references
- References
- Appendix A. Bibliography
- Chapter 12. What's Next?
- Summary
- Ensemble time series models
品牌：中圖公司
上架時間：2021-07-23 17:42:37
出版社：Packt Publishing
本書數字版權由中圖公司提供，并由其授權上海閱文信息技術有限公司制作發行
