From 5d02206cbda0f377741d0df3619f325b19c7a0e8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Shan=C3=A9=20Winner?=
 <43390034+swinner95@users.noreply.github.com>
Date: Sat, 4 May 2019 13:34:11 -0700
Subject: [PATCH] updated with tracking pixel

---
 .../machine-learning-pipelines/intro-to-pipelines/README.md    | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/README.md b/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/README.md
index 807b253e..274c579b 100644
--- a/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/README.md
+++ b/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/README.md
@@ -13,3 +13,6 @@ These notebooks below are designed to go in sequence.
 8. [aml-pipelines-parameter-tuning-with-hyperdrive.ipynb](https://aka.ms/pl-hyperdrive): HyperDriveStep in Pipelines shows how you can do hyper parameter tuning using Pipelines.
 9. [aml-pipelines-how-to-use-azurebatch-to-run-a-windows-executable.ipynb](https://aka.ms/pl-azbatch): AzureBatchStep can be used to run your custom code in AzureBatch cluster.
 10. [aml-pipelines-setup-schedule-for-a-published-pipeline.ipynb](https://aka.ms/pl-schedule): Once you publish a Pipeline, you can schedule it to trigger based on an interval or on data change in a defined datastore. 
+
+
+ ![Impressions](https://PixelServer20190423114238.azurewebsites.net/api/impressions/MachineLearningNotebooks/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/README.png)