Tomaz Kastrun - SQL Server 2017 Machine Learning Services with R: Data exploration, modeling, and advanced analytics (English Edition)

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Toma Katrun 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 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.

Marlon Ribunal is a data professional primarily focusing on the Microsoft stack. His work experience includes but is not limited to database administration, SQL development, query and performance tuning, ETL, and BI. He is the primary author of SQL Server 2012 Reporting Services Blueprints. His love for continuous learning is leading him toward the path of big data and data science, which he is gearing up for in his next adventure.

Dave Wentzel is the CTO of Capax Global, a data and cloud consultancy. For years he worked at big ISVs, dealing with the scalability limitations of traditional databases. With the advent of Hadoop and big data technologies, things that were impossible to do with data were suddenly within reach.

Prior to Capax, he worked at Microsoft, assisting customers with Azure big data solutions. Success for him is solving challenging problems at companies he respects with talented people whom he admires.

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SQL Server has supported machine learning capabilities since SQL Server 2016. Previously known as SQL Server 2016 R Services, SQL Server 2017 Machine Learning Services come in two flavors, R and Python. This book provides hands-on reference and learning materials for data professionals, DBAs, and data scientists on how to install, develop, deploy, maintain, and administer data science and advanced analytical solutions using SQL Server with R. Whether you are new to SQL Server, or an experienced SQL Server professional,