Difference between revisions of "Best Practices"

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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
 
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
 
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[http://www.youtube.com/results?search_query=Technical+Assessment+Evaluation+Performance+artificial+intelligence+Deep+Machine+Learning YouTube search...]
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[http://www.youtube.com/results?search_query=Best+Practices+artificial+intelligence+Deep+Machine+Learning YouTube search...]
[http://www.google.com/search?q=Technical+Assessment+Evaluation+Performance+artificial+intelligence+Deep+Machine+Learning ...Google search]
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[http://www.google.com/search?q=Best+Practices+artificial+intelligence+Deep+Machine+Learning ...Google search]
  
 
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* [http://developers.google.com/machine-learning/guides/rules-of-ml Rules of Machine Learning: Best Practices for ML Engineering | Martin Zinkevich - ][[Google]]
 
* [http://developers.google.com/machine-learning/guides/rules-of-ml Rules of Machine Learning: Best Practices for ML Engineering | Martin Zinkevich - ][[Google]]
 
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Revision as of 17:15, 8 September 2020

YouTube search... ...Google search

Rules of ML
Google research scientist Martin Zinkevich

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)