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Revision as of 17:15, 8 September 2020
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Rules of ML
Google research scientist Martin Zinkevich
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Best Practices of In-Platform AI/ML Webinar
Productive use of machine learning and artificial intelligence technologies is impossible without a platform that allows autonomous functioning of AI/ML mechanisms. In-platform AI/ML has a number of advantages that can be obtained via best practices by InterSystems. On this webinar, we will present: • MLOps as the natural paradigm for in-platform AI/ML
• A full cycle of AI/ML content development and in-platform deployment (including bidirectional integration of Jupyter with InterSystems IRIS)
• New toolset added to ML Toolkit: integration and orchestration for Julia mathematical modeling environment
• Automated AI/ML model selection and parameter determination via an SQL query
• Cloud-enhanced ML
• Featured use case demo: hospital readmission prediction (addresses running in InterSystems IRIS of the models trained outside the platform's control)
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