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SQL Server 2017 Machine Learning Services with R

You're reading from   SQL Server 2017 Machine Learning Services with R Data exploration, modeling, and advanced analytics

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787283572
Length 338 pages
Edition 1st Edition
Languages
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Authors (2):
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Julie Koesmarno Julie Koesmarno
Author Profile Icon Julie Koesmarno
Julie Koesmarno
Toma≈æ Ka≈°trun Kaštrun Toma≈æ Ka≈°trun Kaštrun
Author Profile Icon Toma≈æ Ka≈°trun Kaštrun
Toma≈æ Ka≈°trun Kaštrun
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Table of Contents (12) Chapters Close

Preface 1. Introduction to R and SQL Server FREE CHAPTER 2. Overview of Microsoft Machine Learning Server and SQL Server 3. Managing Machine Learning Services for SQL Server 2017 and R 4. Data Exploration and Data Visualization 5. RevoScaleR Package 6. Predictive Modeling 7. Operationalizing R Code 8. Deploying, Managing, and Monitoring Database Solutions containing R Code 9. Machine Learning Services with R for DBAs 10. R and SQL Server 2016/2017 Features Extended 11. Other Books You May Enjoy

Using version control

From Visual Studio, we can check in the solution and manage changes in version control. In this specific instance, we are using VSTS to check in. It is assumed that you have created a project in VSTS.

Here are the prerequisites for the rest of this section:

  1. A VSTS project: To set up a new VSTS project, simply go to: https://www.visualstudio.com/team-services/.

The URL for a VSTS project should follow this format:
https://<your account>.visualstudio.com/<VSTS Project>

The VSTS project referred to in this chapter is named SQL Server R Services Book. So, the URL in my case is https://mssqlgirl.visualstudio.com/SQL%20Server%20R%20Services%20Book

  1. The VSTS project is mapped to a local folder.

The local folder here mapped to the project is C:\VSTS\SQL Server R Services Book. Earlier in this chapter, we created the SQL Server database solution...

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