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Intro
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What is Mercari?
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Machine Learning at Mercari US
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ML Development Lifecycle
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ML Project Lifecycle at Mercari US
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What is Polyaxon?
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How to run a job on Polyaxon
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What is Kubeflow Pipelines?
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Kubeflow Pipelines at Mercari US
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What we built to accelerate iterations
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Monorepo for Kubeflow Pipelines
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"Project" Manifest for KFP and Polyaxon
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Polyaxon Kubeflow Pipelines Component
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Takeaways
Description:
Explore efficient model development and continuous delivery using Polyaxon and Kubeflow in this 19-minute conference talk from KubeCon + CloudNativeCon North America 2021. Discover how Mercari's Machine Learning Platform team accelerates ML projects through the integration of these cloud-native tools. Learn about the iterative nature of machine learning projects, from experimentation to productionization and operation. Gain insights into Polyaxon's capabilities for parallel and scalable hyperparameter tuning, and understand how KubeflowPipelines serves as a workflow engine for ML pipelines. Delve into Mercari's ML development lifecycle, exploring their use of Polyaxon and Kubeflow Pipelines. Uncover the team's innovative solutions, including a monorepo for Kubeflow Pipelines, a "Project" manifest for KFP and Polyaxon, and a Polyaxon Kubeflow Pipelines component. Walk away with valuable takeaways to enhance your own ML project workflows and accelerate iterations.

Efficient Model Exploring and Continuous Delivery With Polyaxon + Kubeflow

CNCF [Cloud Native Computing Foundation]
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