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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
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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

RevoScaleR Package

The RevoScaleR package comes with Microsoft Machine Learning R Server and R Services. It is also available with R Client, but with some limitations discussed in Chapter 2, Overview of Microsoft Machine Learning Server and SQL Server. Given the rapid development and constant upgrades, this chapter will cover version 8.X and version 9.X-the latter is also available with SQL Server 2017. Changes and upgrades in version 9.X are not to be overlooked and will be covered as well.

The following topics are covered in this chapter:

  • Limitations of R challenged
  • Scalable and distributive computational environment
  • Functions for data preparation
  • Functions for descriptive statistics
  • Functions for statistical tests and sampling
  • Functions for predictive modeling

Primarily, this R package is designed to be handled in ecosystems where clients would be connecting to Microsoft...

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