Merge pull request Azure#23 from Azure/sdg-update

update readme

Author: sdgilley

README.md

@@ -5,27 +5,23 @@ To run the notebooks in this repository use one of these methods:
 ## Use Azure Notebooks - Jupyter based notebooks in the Azure cloud
 
 1. [![Azure Notebooks](https://notebooks.azure.com/launch.png)](https://aka.ms/aml-clone-azure-notebooks)
-[Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks if they are not already there.
-1.  Create a workspace and its configuration file (**config.json**) using [these instructions](https://aka.ms/aml-how-to-configure-environment).
-1. Select `+New` in the Azure Notebook toolbar to add your **config.json** file to the imported folder.
-    ![upload config file to notebook folder](images/additems.png)
-1. Open the notebook.
+[Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks.
+1. Follow the instructions in the [00.configuration](00.configuration.ipynb) notebook to create and connect to a workspace.
+1. Open one of the sample notebooks.
 
-    **Make sure the Azure Notebook kernal is set to `Python 3.6`** when you open a notebook. 
+    **Make sure the Azure Notebook kernel is set to `Python 3.6`** when you open a notebook.  
 
-    ![set kernal to Python 3.6](images/python36.png)
+    ![set kernel to Python 3.6](images/python36.png)
 
 
 ## **Use your own notebook server**
 
-1. Use [these instructions](https://aka.ms/aml-how-to-configure-environment) to:
-    * Create a workspace and its configuration file (**config.json**).
-    * Configure your notebook server.
+1. Setup a Jupyter Notebook server and [install the Azure Machine Learning SDK](https://aka.ms/aml-how-to-configure-environment).
 1. Clone [this repository](https://aka.ms/aml-notebooks).
-1. Add your **config.json** file to the cloned folder
 1. You may need to install other packages for specific notebooks
 1. Start your notebook server.
-1. Open the notebook you want to run.
+1. Follow the instructions in the [00.configuration](00.configuration.ipynb) notebook to create and connect to a workspace.
+1. Open one of the sample notebooks.
 
 > Note: **Looking for automated machine learning samples?**
 > For your convenience, you can use an installation script instead of the steps below for the automated ML notebooks. Go to the [automl folder README](automl/README.md) and follow the instructions.  The script installs all  packages needed for notebooks in that folder.

automl/README.md

@@ -17,18 +17,16 @@ If you are new to Data Science, AutoML will help you get jumpstarted by simplify
 If you are an experienced data scientist, AutoML will help increase your productivity by intelligently performing the model and hyperparameter selection for your training and generates high quality models much quicker than manually specifying several combinations of the parameters and running training jobs. AutoML provides visibility and access to all the training jobs and the performance characteristics of the models to help you further tune the pipeline if you desire.
 
  <a name="jupyter"></a>
-## Running samples in Azure Notebooks - Jupyter based notebooks in the Azure cloud
+## Running samples in Azure Notebooks - Jupyter based notebooks in the Azure cloud 
 
 1. [![Azure Notebooks](https://notebooks.azure.com/launch.png)](https://aka.ms/aml-clone-azure-notebooks)
-[Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks if they are not already there.
-1.  Create a workspace and its configuration file (**config.json**) using [these instructions](https://aka.ms/aml-how-to-configure-environment).
-1. Select `+New` in the Azure Notebook toolbar to add your **config.json** file to the imported folder.
-    ![upload config file to notebook folder](../images/additems.png)
-1. Open the notebook.
+[Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks.
+1. Follow the instructions in the [../00.configuration](00.configuration.ipynb) notebook to create and connect to a workspace.
+1. Open one of the sample notebooks.
 
-    **Make sure the Azure Notebook kernal is set to `Python 3.6`** when you open a notebook. 
+    **Make sure the Azure Notebook kernel is set to `Python 3.6`** when you open a notebook. 
 
-    ![set kernal to Python 3.6](../images/python36.png)
+    ![set kernel to Python 3.6](../images/python36.png)
 
 <a name="localconda"></a>
 ## Running samples in a Local Conda environment