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Update model-basics.Rmd (#236)

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Rademeyer Vermaak 2016-08-05 15:53:08 +02:00 committed by Hadley Wickham
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@ -727,4 +727,4 @@ This chapter has focussed exclusively on the class of linear models, which assum
by models like __random forests__ (e.g. `randomForest::randomForest()`) or
__gradient boosting machines__ (e.g. `xgboost::xgboost`.)
These models all work similarly from a programming perspective. Once you've mastered linear models, you should find it easy to master the mechanics of these other model classes. Being a skilled modeller mixture of having some good general principles and having a big toolbox of techniques. Now that you've learned some general tools and one useful class of models, you can go on and learn more classes from other sources.
These models all work similarly from a programming perspective. Once you've mastered linear models, you should find it easy to master the mechanics of these other model classes. Being a skilled modeller is a mixture of having some good general principles and having a big toolbox of techniques. Now that you've learned some general tools and one useful class of models, you can go on and learn more classes from other sources.