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Microsoft R
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Microsoft R

Overview
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The Microsoft R product family includes: Microsoft R Server, Microsoft R Client, Microsoft R Open, SQL Server R Services.

R is the world’s most powerful, and preferred, programming language for statistical computing, machine learning, and graphics, and is supported by a thriving global community of users, developers, and contributors.The Microsoft R product family includes: Microsoft R Server, Microsoft R Client, Microsoft R Open, SQL Server R Services.Microsoft R Server is the most broadly deployable enterprise-class analytics platform for R . Supporting a variety of big data statistics, predictive modeling and machine learning capabilities, R Server supports the full range of analytics exploration, analysis, visualization and modeling based on open source R. Microsoft R Client is a free, community supported, data science tool for high performance analytics. R Client is built on top of Microsoft R Open so you can use any open source R package to build your analytics. Additionally, R Client introduces the powerful ScaleR technology and its proprietary functions to benefit from parallelization and remote computing.

Microsoft R Open is the enhanced distribution of R from Microsoft Corporation. It is a complete open source platform for statistical analysis and data science. Being based on the open source R engine makes Microsoft R Open fully compatibility with all R packages, scripts and applications that work with that version of R. Microsoft R Open delivers performance boosts, in comparison to the standard R distribution, since R Open leverages high-performance, multi-threaded math libraries.

SQL Server R Services provides a platform for developing intelligent applications that uncover new insights. You can use the rich and powerful R language and the many open source packages to create models and generate predictions using your SQL Server data.

You may also live to read, Predictive Analytics Freeware Software, Top Predictive Analytics proprietary Software, Predictive Analytics Software API, Top Free Data Mining Software, Top Data Mining Software,and Data Ingestion Tools.

More Information on Predictive Analysis Process

Predictive Analytics Process Flow

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.

Rating
Our Rating
User Rating
Ease of use
7.6
Features & Functionality
7.6
Advanced Features
7.6
Integration
7.6
Customer Support
7.6
Performance
7.6
Training
Implementation
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Bottom Line

Supporting a variety of big data statistics, predictive modeling and machine learning capabilities, R Server supports the full range of analytics – exploration, analysis, visualization and modeling based on open source R.

7.6
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Ease of use
Features & Functionality
Advanced Features
Integration
Customer Support
Performance
Training
Implementation
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