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SQL Server 2017 Machine Learning Services with R
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Table of Contents

Table of Contents

  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

About the Author

Tomaz Kastrun is a SQL Server developer and data scientist with more than 15 years of experience in the fields of business warehousing, development, ETL, database administration, and query tuning. He holds over 15 years of experience in data analysis, data mining, statistical research, and machine learning. He is a Microsoft SQL Server MVP for data platform and has been working with Microsoft SQL Server since version 2000. He is a blogger, author of many articles, a frequent speaker at the community and Microsoft events. He is an avid coffee drinker who is passionate about fixed gear bikes. Julie Koesmarno Julie Koesmarno is a senior program manager in the Database Systems Business Analytics team, at Microsoft. Currently, she leads big data analytics initiatives, driving business growth and customer success for SQL Server and Azure Data businesses. She has over 10 years of experience in data management, data warehousing, and analytics for multimillion-dollar businesses as a SQL Server developer, a system analyst, and a consultant prior to joining Microsoft. She is passionate about empowering data professionals to drive impacts for customer success and business through insights.

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