Update articles/machine-learning/concept-train-machine-learning-model.md

Author: sdgilley

articles/machine-learning/concept-train-machine-learning-model.md

@@ -92,7 +92,6 @@ The Azure training lifecycle consists of:
 1. Saving logs, model files, and other files written to `./outputs` to the storage account associated with the workspace
 1. Scaling down compute, including removing temporary storage 
 
-If you choose to train on your local machine ("configure as local run"), you do not need to use Docker. You may use Docker locally if you choose.
 
 ## Azure Machine Learning designer