Deploying Machine Learning Models in Serverless Architectures
summary
Describes how to build, validate and deploy machine learning models to production using serverless cloud architectures (functions-as-a-service). Covers the practical workflow for creating models and putting them into production on serverless infrastructure, with slides available for implementation details.
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chapters (7)
- 0:00Introduction
- 6:57Serverless functions
- 12:09Model deployment challenges
- 15:02Saving model parameters
- 18:39Using transformation pipelines
- 23:41Exposing the model
- 25:08Summary
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