20240529 acrolinx, metadata

Author: WilliamDAssafMSFT

docs/machine-learning/install/sql-pretrained-models-install.md

@@ -3,6 +3,7 @@ title: Install pretrained models
 description: Add pretrained models for sentiment analysis and image featurization to SQL Server Machine Learning Services (R or Python) or SQL Server R Services.
 author: WilliamDAssafMSFT
 ms.author: wiassaf
+ms.reviewer: monamaki
 ms.date: 05/29/2024
 ms.service: sql
 ms.subservice: machine-learning-services

docs/machine-learning/python/setup-python-client-tools-sql.md

@@ -3,6 +3,7 @@ title: Set up a Python data science client
 description: Set up a Python local environment (Jupyter Notebook or PyCharm) for remote connections to SQL Server Machine Learning Services with Python.
 author: WilliamDAssafMSFT
 ms.author: wiassaf
+ms.reviewer: monamaki
 ms.date: 05/29/2024
 ms.service: sql
 ms.subservice: machine-learning-services

docs/machine-learning/r/set-up-data-science-client.md

@@ -3,7 +3,8 @@ title: Set up an R data science client
 description: Install local R libraries and tools on a development workstation for remote connections to SQL Server.
 author: WilliamDAssafMSFT
 ms.author: wiassaf
-ms.date: 05/09/2022
+ms.reviewer: monamaki
+ms.date: 05/29/2024
 ms.service: sql
 ms.subservice: machine-learning-services
 ms.custom: linux-related-content

docs/machine-learning/tutorials/demo-data-nyctaxi-in-sql.md

@@ -3,7 +3,8 @@ title: NYC Taxi demo data for tutorials
 description: Create a database containing the New York City taxi sample data. This dataset is used in R and Python tutorials for SQL Server Machine Learning Services.
 author: WilliamDAssafMSFT
 ms.author: wiassaf
-ms.date: 11/02/2022
+ms.reviewer: monamaki
+ms.date: 05/29/2024
 ms.service: sql
 ms.subservice: machine-learning-services
 ms.topic: tutorial

docs/machine-learning/tutorials/python-clustering-model.md

@@ -4,7 +4,7 @@ titleSuffix: SQL machine learning
 description: In this four-part tutorial series, the goal is to cluster customers, using K-Means, in a database using Python with SQL machine learning.
 author: WilliamDAssafMSFT
 ms.author: wiassaf
-ms.reviewer: randolphwest, anmunde
+ms.reviewer: monamaki, randolphwest, anmunde
 ms.date: 05/29/2024
 ms.service: sql
 ms.subservice: machine-learning

docs/machine-learning/tutorials/python-ski-rental-linear-regression.md

@@ -4,6 +4,7 @@ titleSuffix: SQL machine learning
 description: In this four-part tutorial series, you build a linear regression model in Python to predict ski rentals with SQL machine learning.
 author: WilliamDAssafMSFT
 ms.author: wiassaf
+ms.reviewer: monamaki
 ms.date: 05/29/2024
 ms.service: sql
 ms.subservice: machine-learning

docs/machine-learning/tutorials/r-predictive-model-introduction.md

@@ -4,7 +4,7 @@ titleSuffix: SQL machine learning
 description: In this four-part tutorial series, you'll develop data to train a predictive model in R with SQL machine learning.
 author: WilliamDAssafMSFT
 ms.author: wiassaf
-ms.reviewer: garye, jroth
+ms.reviewer: monamaki
 ms.date: 05/29/2024
 ms.service: sql
 ms.subservice: machine-learning
@@ -38,7 +38,7 @@ In this article, you'll learn how to:
 
 In [part two](r-predictive-model-prepare-data.md), you'll learn how to load the data from a database into a Python data frame, and prepare the data in R.
 
-In [part three](r-predictive-model-train.md), you'll learn how to train a machine learning model model in R.
+In [part three](r-predictive-model-train.md), you'll learn how to train a machine learning model in R.
 
 In [part four](r-predictive-model-deploy.md), you'll learn how to store the model in a database, and then create stored procedures from the R scripts you developed in parts two and three. The stored procedures will run on the server to make predictions based on new data.
 
@@ -92,10 +92,10 @@ The sample database used in this tutorial has been saved to a `.bak` database ba
 ::: moniker range="=azuresqldb-mi-current"
 1. Download the file [TutorialDB.bak](https://aka.ms/TutorialDB_bak).
 
-1. Follow the directions in [Restore a database to a Managed Instance](/azure/sql-database/sql-database-managed-instance-get-started-restore) in SQL Server Management Studio, using these details:
+1. Follow the directions in [Restore a database to Azure SQL Managed Instance](/azure/sql-database/sql-database-managed-instance-get-started-restore) in SQL Server Management Studio, using these details:
 
    * Import from the `TutorialDB.bak` file you downloaded.
-   * Name the target database `TutorialDB.
+   * Name the target database `TutorialDB`.
 
 1. You can verify that the restored database exists by querying the `dbo.rental_data` table: