SQL Server 2017 Machine Learning Services with R

Develop and run efficient R scripts and predictive models for SQL Server 2017 R Services, 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 perform 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. SQL Server 2017 Machine Learning Services with R gives you foundational knowledge and insight to help you understand SQL Server 2017 Machine Learning Services with R. This 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, along with maintaining, deploying, and managing code, and monitoring your services. Once you’ve got to grips with basics, you’ll deep dive into predictive modeling and the RevoScaleR package, and gain insight into operationalizing code and exploring and visualizing data. In the concluding chapters, SQL Server 2017 Machine Learning Services with R covers the new features in SQL Server 2017 and how they are compatible with R, amplifying their combined power. SQL Server 2017 Machine Learning Services with R is for data analysts, data scientists, and database administrators with some or no experience in R but who are eager to easily deliver practical data science solutions in their day-to-day work (or future projects) using SQL Server.