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Microsoft: In-database Machine Learning in SQL Server 2017

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We are excited to announce the general availability of SQL Server 2017 and Machine Learning Services. You can start using Python-based in-database Machine Learning Services for production usage now. With support for both R and Python, we have rebranded ‘R Services’ to ‘Machine Learning Services’. SQL Server now supports the three most popular data science languages and enables you to use the latest AI and ML packages from the open source world in-database, across ALL editions on Windows – making SQL Server 2017 the commercial database with built-in AI.

As we have covered in previous posts, there are many advantages of using this technology, such as the elimination of data movement, ease of deployment, improved security and better scale and performance. These abilities make SQL Server a powerful enterprise platform for machine learning. Examples of what some customers have built using Machine Learning Services:In-database Python integration

In-database Python integration

With the full support of in-database Python in SQL Server Machine Learning Services in SQL Server 2017, the vast population of Python developers and ML practitioners can now leverage the power of SQL Server alongside their Python code. And the SQL Server developers now have access to the extensive Python ML and AI libraries from the open source ecosystem along with the latest innovations from Microsoft (revoscalepy and microsoftml libraries) for developing intelligent applications with in-database analytics.

Read the entire article here, In-database Machine Learning in SQL Server 2017

Via the fine folks at Microsoft.

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