From ece4242c8f19cf9652ff9235dd270bafbd123d0a Mon Sep 17 00:00:00 2001 From: Hai Ning Date: Fri, 15 Feb 2019 12:57:08 -0500 Subject: [PATCH] Update README.md --- how-to-use-azureml/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/how-to-use-azureml/README.md b/how-to-use-azureml/README.md index b86349e0..f9260663 100644 --- a/how-to-use-azureml/README.md +++ b/how-to-use-azureml/README.md @@ -4,8 +4,8 @@ Learn how to use Azure Machine Learning services for experimentation and model m As a pre-requisite, run the [configuration Notebook](../configuration.ipynb) notebook first to set up your Azure ML Workspace. Then, run the notebooks in following recommended order. - * [train-within-notebook](./training/train-within-notebook): Train a model hile tracking run history, and learn how to deploy the model as web service to Azure Container Instance. - * [train-on-local](./training/train-on-local): Learn how to submit a run and use Azure ML managed run configuration. +* [train-within-notebook](./training/train-within-notebook): Train a model hile tracking run history, and learn how to deploy the model as web service to Azure Container Instance. +* [train-on-local](./training/train-on-local): Learn how to submit a run and use Azure ML managed run configuration. * [train-on-amlcompute](./training/train-on-amlcompute): Use a 1-n node managed compute cluster as a remote compute target for CPU or GPU based training. * [train-on-remote-vm](./training/train-on-remote-vm): Use Data Science Virtual Machine as a target for remote runs. * [logging-api](./training/logging-api): Learn about the details of logging metrics to run history.