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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

Overview of Microsoft Machine Learning Server and SQL Server

In this chapter, we will look into the reasons why Microsoft decided to add the R language to SQL Server 2016 and what burdens this integration has overcome. We will cover the following topics in this chapter:

  • Addressing analytical barriers and R limitations
  • The Microsoft R Server platform
  • The Microsoft R Services architecture
  • Exploring computational contexts
You have been reading a chapter from
SQL Server 2017 Machine Learning Services with R
Published in: Feb 2018
Publisher: Packt
ISBN-13: 9781787283572
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