From the course: Applied AI for IT Operations (AIOps)

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Using machine learning platforms

Using machine learning platforms - Python Tutorial

From the course: Applied AI for IT Operations (AIOps)

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Using machine learning platforms

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- [Instructor] Institutionalized AI needs a machine learning platform to organize data, collaborate among data scientists and engineers, evaluate models, and automate deployments. As machine learning has evolved over the last few years, processes and products that take care of infrastructure, pipelines, experiment management, and deployments have emerged. To be able to build and manage A solutions over a long-term, it is recommended to have a learning platform for A18. This learning platform should take care of the following functions, data versioning to keep track of data and changes to it over time, automated and repeatable data preparation and feature engineering, creation of experiments, collaborating and keeping track of results and models from these experiments, automated pipelines to deploy new models to production and also roll back already deployed models, collaboration among data scientists and engineers to create, review, and approve work. Today, a number of products have…

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