Name: ML Workflow for Parallel Model Improvements
Uploaded: 2022-10-05
Description: Deploying machine learning models is hard. Deploying multiple machine-learning models in parallel is harder. In this talk, we discuss Ironscales' strategy for decomposing a machine learning system and providing components that allow highly parallelized development.

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Deploying machine learning models is hard. Deploying multiple machine-learning models in parallel is harder. 

In this talk, we discuss Ironscales' strategy for decomposing a machine learning system and providing components that allow highly parallelized development. 

ML Workflow for Parallel Model Improvements

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