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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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Toc

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

Summary

This chapter has covered the installation of Machine Learning Services (in-database), the configuration of the services and how to administrate the services. It has also explored the installation of missing packages and covered security and the resource governor. In the last section, the chapter also gives an explanation of how to use external procedures and the sp_execute_external_script with all arguments. Several examples have been covered through digging into security issues and the installation of missing packages. The installation of missing packages was heavily dependent on the article in SQLServerCentral.

An introduction to machine learning services and using an external procedure will be the foundation for all of the following chapters, which will all heavily rely on a good understanding of configuring and using this procedure.

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