update samples from Release-18 as a part of 1.1.0rc0 SDK experimental release (#760)

Co-authored-by: vizhur <vizhur@live.com>

tutorials/README.md

@@ -1,27 +1,35 @@
-## Azure Machine Learning service Tutorial
+# Azure Machine Learning Tutorials
 
-Complete these tutorials to learn how to train and deploy models using Azure Machine Learning services and Python SDK. These Notebooks accompany the
-two sets of tutorial articles for:
+Azure Machine Learning, a cloud-based environment you can use to train, deploy, automate, manage, and track ML models.
 
- * [Image classification using MNIST dataset](https://docs.microsoft.com/en-us/azure/machine-learning/service/tutorial-train-models-with-aml)
- * [Regression using NYC Taxi dataset](https://docs.microsoft.com/en-us/azure/machine-learning/service/tutorial-data-prep)
+Azure Machine Learning can be used for any kind of machine learning, from classical ML to supervised, unsupervised, and deep learning.
 
-If you are using an Azure Machine Learning Notebook VM, you are all set. Otherwise, run the [configuration Notebook](../configuration.ipynb) notebook first to set up your Azure ML Workspace. Then, run the notebooks in following recommended order.
+This folder contains a collection of Jupyter Notebooks with the code used in accompanying step-by-step tutorials.
 
-### Create first ML experiment
+## Set up your environment.
 
-* [Part 1](https://docs.microsoft.com/azure/machine-learning/service/tutorial-quickstart-setup): Set up workspace & dev environment
-* [Part 2](tutorial-quickstart-train-model.ipynb): Learn the foundational design patterns in Azure Machine Learning service, and train a simple scikit-learn model based on the diabetes data set
+If you are using an Azure Machine Learning Notebook VM, everything is already set up for you. Otherwise, see the [get started creating your first ML experiment with the Python SDK tutorial](https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-1st-experiment-sdk-setup).
 
-### Image classification
+## Introductory Samples
 
- * [Part 1](img-classification-part1-training.ipynb): Train an image classification model with Azure Machine Learning.
- * [Part 2](img-classification-part2-deploy.ipynb): Deploy an image classification model from first tutorial in Azure Container Instance (ACI).
+The following tutorials are intended to provide an introductory overview of Azure Machine Learning.
 
- ### Regression
- * [Part 1](regression-part1-data-prep.ipynb): Prepare the data using Azure Machine Learning Data Prep SDK.
- * [Part 2](regression-part2-automated-ml.ipynb): Train a model using Automated Machine Learning.
+| Tutorial | Description | Notebook | Task | Framework | 
+| --- | --- | --- | --- | --- |
+| [Train your first ML Model](https://docs.microsoft.com/azure/machine-learning/tutorial-1st-experiment-sdk-train) | Learn the foundational design patterns in Azure Machine Learning and train a scikit-learn model based on a diabetes data set. | [tutorial-quickstart-train-model.ipynb](create-first-ml-experiment/tutorial-1st-experiment-sdk-train.ipynb) | Regression | Scikit-Learn
+| [Train an image classification model](https://docs.microsoft.com/azure/machine-learning/tutorial-train-models-with-aml) | Train a scikit-learn image classification model. | [img-classification-part1-training.ipynb](image-classification-mnist-data/img-classification-part1-training.ipynb) | Image Classification | Scikit-Learn
+| [Deploy an image classification model](https://docs.microsoft.com/azure/machine-learning/tutorial-deploy-models-with-aml) | Deploy a scikit-learn image classification model to Azure Container Instances. | [img-classification-part2-deploy.ipynb](image-classification-mnist-data/img-classification-part2-deploy.ipynb) | Image Classification | Scikit-Learn
+| [Use automated machine learning to predict taxi fares](https://docs.microsoft.com/azure/machine-learning/tutorial-auto-train-models) | Train a regression model to predict taxi fares using Automated Machine Learning. | [regression-part2-automated-ml.ipynb](regression-automl-nyc-taxi-data/regression-automated-ml.ipynb) | Regression | Automated ML 
 
- Also find quickstarts and how-tos on the [official documentation site for Azure Machine Learning service](https://docs.microsoft.com/en-us/azure/machine-learning/service/).
+## Advanced Samples
+
+The following tutorials are intended to provide examples of more advanced feature in Azure Machine Learning.
+
+| Tutorial | Description | Notebook | Task | Framework | 
+| --- | --- | --- | --- | --- |
+| [Build an Azure Machine Learning pipeline for batch scoring](https://docs.microsoft.com/azure/machine-learning/tutorial-pipeline-batch-scoring-classification) | Create an Azure Machine Learning pipeline to run batch scoring image classification jobs | [tutorial-pipeline-batch-scoring-classification.ipynb](machine-learning-pipelines-advanced/tutorial-pipeline-batch-scoring-classification.ipynb) | Image Classification | TensorFlow
+Complete these tutorials to learn how to train and deploy models using Azure Machine Learning services and Python SDK. These Notebooks accompany the tutorial articles for:
+
+For additional documentation and resources, see the [official documentation site for Azure Machine Learning](https://docs.microsoft.com/azure/machine-learning/).
 
 ![Impressions](https://PixelServer20190423114238.azurewebsites.net/api/impressions/MachineLearningNotebooks/tutorials/README.png)

tutorials/create-first-ml-experiment/tutorial-1st-experiment-sdk-train.ipynb

@@ -317,7 +317,9 @@
         "\n",
         "If you used a cloud notebook server, stop the VM when you are not using it to reduce cost.\n",
         "\n",
-        "1. In your workspace, select **Notebook VMs**.\n",
+        "1. In your workspace, select **Compute**.\n",
+        "\n",
+        "1. Select the **Notebook VMs** tab in the compute page.\n",
         "\n",
         "1. From the list, select the VM.\n",
         "\n",

tutorials/regression-automl-nyc-taxi-data/regression-automated-ml.ipynb

@@ -564,7 +564,8 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "1. In your workspace, select **Notebook VMs**.\n",
+        "1. In your workspace, select **Compute**.\n",
+        "1. Select the **Notebook VMs** tab in the compute page.\n",
         "1. From the list, select the VM.\n",
         "1. Select **Stop**.\n",
         "1. When you're ready to use the server again, select **Start**."