diff --git a/samples/features/sql2019notebooks/README.md b/samples/features/sql2019notebooks/README.md index ff305229..3e8b708d 100644 --- a/samples/features/sql2019notebooks/README.md +++ b/samples/features/sql2019notebooks/README.md @@ -34,8 +34,8 @@ The [What's New](https://docs.microsoft.com/en-us/sql/sql-server/what-s-new-in-s * Restful-Access - Access Spark in BDC via restful Livy APIs * **Machine Learning** - * **[Powerplant Output Prediction](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/sql-big-data-cluster/machine-learning/spark/h2o/h2o-automl-powerplant.ipynb)** - This sample uses the automated machine learning capabilities of the third party H2O package running in Spark in a SQL Server 2019 Big Data Cluster to build a machine learning model that predicts powerplant output. - * **[TensorFlow on GPUs in SQL Server 2019 big data cluster](https://github.com/microsoft/sql-server-samples/tree/master/samples/features/sql-big-data-cluster/machine-learning/spark/tensorflow)** - The notebooks in this directory illustrate fitting TensorFlow image classification models using GPU acceleration. + * **[Powerplant Output Prediction](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/sql-big-data-cluster/machine-learning/spark/h2o/h2o-automl-powerplant.ipynb)** - This sample uses the automated machine learning capabilities of the third party H2O package running in Spark in a SQL Server 2019 Big Data Cluster to build a machine learning model that predicts powerplant output. + * **[TensorFlow on GPUs in SQL Server 2019 big data cluster](https://github.com/microsoft/sql-server-samples/tree/master/samples/features/sql-big-data-cluster/machine-learning/spark/tensorflow)** - The notebooks in this directory illustrate fitting TensorFlow image classification models using GPU acceleration. ### SQL Server Troubleshooting Notebooks * **[SQL Server Troubleshooting Notebooks](https://github.com/microsoft/tigertoolbox/tree/master/Troubleshooting-Notebooks)** - This repository of notebooks helps you troubleshooting common scenarios that you could encounter with SQL Server including Big Data Clusters.