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Demonstrate and discuss how to automate an end-to-end ML/AI project. Will touch on DevOps tasks for data sanity test, model training on different compute targets, model version management, model evaluation/model selection, model deployment as real-time web service, staged deployment to QA/prod, integration testing and functional testing. What ...
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