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- SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
E-book details
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SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
Julie Koesmarno, Toma?ae Ka?°trun
Ebook
R Services was one of the most anticipated features in SQL Server 2016, improved significantly and rebranded as SQL Server 2017 Machine Learning Services. Prior to SQL Server 2016, many developers and data scientists were already using R to connect to SQL Server in siloed environments that left a lot to be desired, in order to do additional data analysis, superseding SSAS Data Mining or additional CLR programming functions. With R integrated within SQL Server 2017, these developers and data scientists can now benefit from its integrated, effective, efficient, and more streamlined analytics environment.
This book gives you foundational knowledge and insights to help you understand SQL Server 2017 Machine Learning Services with R. First and foremost, the book provides practical examples on how to implement, use, and understand SQL Server and R integration in corporate environments, and also provides explanations and underlying motivations. It covers installing Machine Learning Services;maintaining, deploying, and managing code;and monitoring your services.
Delving more deeply into predictive modeling and the RevoScaleR package, this book also provides insights into operationalizing code and exploring and visualizing data. To complete the journey, this book covers the new features in SQL Server 2017 and how they are compatible with R, amplifying their combined power.
This book gives you foundational knowledge and insights to help you understand SQL Server 2017 Machine Learning Services with R. First and foremost, the book provides practical examples on how to implement, use, and understand SQL Server and R integration in corporate environments, and also provides explanations and underlying motivations. It covers installing Machine Learning Services;maintaining, deploying, and managing code;and monitoring your services.
Delving more deeply into predictive modeling and the RevoScaleR package, this book also provides insights into operationalizing code and exploring and visualizing data. To complete the journey, this book covers the new features in SQL Server 2017 and how they are compatible with R, amplifying their combined power.
- 1. Introduction to R and SQL Server
- 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 modelling
- 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 extended
- Title: SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
- Author: Julie Koesmarno, Toma?ae Ka?°trun
- Original title: SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
- ISBN: 9781787280922, 9781787280922
- Date of issue: 2018-02-27
- Format: Ebook
- Item ID: e_156h
- Publisher: Packt Publishing