Name: ML%20Workflow%20for%20Parallel%20Model%20Improvements
Uploaded: 2022-10-05
Description: Deploying%20machine%20learning%20models%20is%20hard.%20Deploying%20multiple%20machine-learning%20models%20in%20parallel%20is%20harder.%20%0A%0AIn%20this%20talk,%20we%20discuss%20Ironscales'%20strategy%20for%20decomposing%20a%20machine%20learning%20system%20and%20providing%20components%20that%20allow%20highly%20parallelized%20development.%20

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ML/Data Team Lead

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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