![]() ![]() Examples of what some customers have built using Machine Learning Services: These abilities make SQL Server a powerful enterprise platform for machine learning. 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.Īs 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. With support for both R and Python, we have rebranded ‘R Services’ to ‘Machine Learning Services’. You can start using Python-based in-database Machine Learning Services for production usage now. We are excited to announce the general availability of SQL Server 2017 and Machine Learning Services. This post is authored by Sumit Kumar, Senior Program Manager, Microsoft and Nellie Gustafsson, Program Manager, Microsoft ![]()
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