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Title:Machine Learning Server Overview – Python and R Data Analysis | Microsoft

Description:Use Microsoft Machine Learning Server to discover insights faster and transform your business. Combine Python and R open-source community resources with powerful data analysis.

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This site uses cookies for analytics, personalized content and ads. By continuing to browse this site, you agree to this use. Learn more Skip to main content Microsoft Data platform Data platform Data platform Home Products Data platform Azure data services Power BI Machine Learning Server Analytics Platform System SQL Server SQL Server 2019 SQL Server BI Previous versions SQL Server 2005 SQL Server 2008 SQL Server 2016 SQL Server 2017 Downloads Community SQL Server blog SQL Server tech community Machine Learning blog SQL Forums SQL Server support blog PASS user group Training and certification Azure AI Gallery Developer Application development Developer tools Hands-on lab for app developers Hands-on lab for Machine Learning on SQL Server Partner Find a partner Become a partner Partner resources More Try SQL Server 2019 All Microsoft Microsoft 365 Azure Office 365 Dynamics 365 SQL Windows 10 Products & Services Windows Server Enterprise Mobility + Security Power BI Teams Visual Studio Microsoft Advertising Emerging Technologies AI Internet of Things Azure Cognitive Services Quantum Microsoft HoloLens Mixed Reality Developer & IT Docs TechNet Developer Network Windows Dev Center Windows IT Pro Center FastTrack Partner Partner Network Solution Providers Partner Center Cloud Hosting Industries Education Financial services Government Health Manufacturing & resources Retail Other Security Licensing AppSource Azure Marketplace Events Research View Sitemap Search Search Microsoft.com Cancel Read how Microsoft is responding to the COVID-19 outbreak, and get resources to help Discover insights and make better decisions with Machine Learning Server Transform your business with scalable, enterprise-grade R and Python based data analytics using your data and existing investments. Watch now Close Learn more Overview Features Resources Overview Overview Features Resources Extend the analytics capabilities of the R and Python open-source languages Analyze data where it lives Use your existing tools to apply advanced analytics to on-premises, hybrid, or cloud-based data. Learn more Innovate using AI Create smarter apps with industry-leading artificial intelligence (AI) and leading machine learning capabilities. Learn more Build mission-critical apps faster Move quickly from lab to production at scale with enterprise-grade security and support. Learn more Simplify deployment of your analytics models Integrate analytics faster with apps written in any language and score easily across data platforms using web services and your preferred development environment. See how to make analytics operational using Machine Learning Server Develop and run R and Python models on your platform of choice Run in-database analytics in Microsoft SQL Server and Teradata, and enable Windows, Linux, Hadoop or Apache Spark-based predictive analytics to maximize your open-source investments at scale. Gain insights right from your database Bring scalable R and Python based analytics to where your data lives—directly in your Microsoft SQL Server database, and reduce the risk, time, and cost associated with data movement. Get started with SQL Server Machine Learning Services Integrate with Microsoft Azure for scalable cloud-based processing Gain even more speed and flexibility for your R data analytics. Deploy Machine Learning Server as part of your Azure subscription. Create a Machine Learning Server virtual machine Confidently extend business apps with integrated advanced analytics Deliver analytics with big data, predictive modeling, and machine learning to integrate with your critical applications, using data wherever it lives—the cloud, hybrid environments, or on-premises. Get started with Machine Learning Server on-premises Get started with a Machine Learning Server virtual machine Machine Learning Server features Bring analytics to your data Analyze your data on-premises, in the cloud, or in a hybrid environment without having to move it. Choose the tools you prefer Use the best tool and language for each data science process, including RStudio, R Tools for Visual Studio, SS*S, and R Client. Build artificial intelligence-enabled apps Enrich your R-based analytics applications by using industry-leading machine learning and artificial intelligence innovations from Microsoft. Scale R analytics for big data Analyze large datasets in-memory and scale predictions from individual servers to large clusters as your business needs change. Experience enhanced, flexible deployment Reduce time and error by deploying directly without model conversion. Easily deploy to a variety of platforms at scale and with robust security. Innovate faster for your business Get the latest scaling capabilities from Microsoft and capitalize on community open-source developments, including more than 9,000 CRAN R packages. Adapt to future needs Ensure stability with an R analytics solution that scales and adapts to future technology and platform changes. Get support you trust Deploy with confidence knowing you have 24x7 support from Microsoft—whether in Hadoop, Spark, Linux, Windows, SQL Server, or Teradata environments. Learn more about Machine Learning Server As a powerful advanced analytics platform, Machine Learning Server integrates seamlessly with your existing data infrastructure to use open-source R and Microsoft innovation to create and distribute R-based analytics programs across your on-premises or cloud data stores—delivering results into dashboards, enterprise applications, or web and mobile apps. 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