In this video, learn how to track the use and abuse of algorithms. It is simple to put a function in a system but identifying how the results of these tools are measured and managed over time.
- [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 encapsulated within a service, …
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2. Overview and Risks
4. Best Practices
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