From the course: Introduction to Responsible AI Algorithm Design
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How algorithms are deployed and monitored
From the course: Introduction to Responsible AI Algorithm Design
How algorithms are deployed and monitored
- [Instructor] How are models deployed and monitored? Model deployment is a stage of machine learning decisioning, that is usually quite difficult to completely manage. It is essential, but there are usually many issues and questions, that appear earlier in the development process, that delay this crucial stage. There are also many risks that can be introduced from the beginning stages, that can cause this stage to drastically change. At its core, deployment is taking the machine learning tools from the development environment, and placing them in a serving environment, where they're actually used to assist decisions. This photo of jumping out of a plane might be a bit of a suitable metaphor, because at this point of the project, where you start to take a number of chances, and you start to see exactly what's happening with the system. In terms of its actual form, there are many ways to deploy a model. They can usually be…
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