Update model-basics.Rmd (#236)
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@ -727,4 +727,4 @@ This chapter has focussed exclusively on the class of linear models, which assum
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by models like __random forests__ (e.g. `randomForest::randomForest()`) or
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by models like __random forests__ (e.g. `randomForest::randomForest()`) or
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__gradient boosting machines__ (e.g. `xgboost::xgboost`.)
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__gradient boosting machines__ (e.g. `xgboost::xgboost`.)
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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.
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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.
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