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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 2. Overview of Microsoft Machine Learning Server and SQL Server FREE CHAPTER 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

In this chapter, you have learned the importance of data preparation in predictive modeling, which involves both data exploration and data visualization exercises. R has a number of open-source packages that are useful for data munging, for example dplyr, reshape, and many more. The challenge is to hit the right balance between having data munging activities in SQL Server VS in R. The beauty of SQL Server Machine Learning Services is that it allows easy integration with SQL Server Reporting Services. In addition, Power BI also supports interactive data exploration with R visualizations. In the next chapter, you will learn more about the RevoScaleR library for portable, scalable, and distributable R functions.

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