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May 4 - May 7
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Wednesday, May 5 • 15:05 - 15:40
Efficient Model Exploring and Continuous Delivery With Polyaxon + Kubeflow - Shotaro Kohama, Mercari Inc

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Machine learning projects are highly iterative. A project begins with an experiment phase, a productionization phase, an operation phase, and the next experiment phase. The smooth transition from the experimental stage to the productionization phase is the key to accelerate the iterations. Polyaxon is a cloud-native machine learning experiments platform that allows developers to run parallel and scalable hyperparameter tuning job in a declarative way. KubeflowPipelines is a workflow engine for machine learning pipelines. This talk shows how the Machine Learning Platform team at Mercari helps accelerate machine learning projects by Polyaxon and KubeflowPipelines.

avatar for Shotaro Kohama

Shotaro Kohama

Software Engineer, Machine Learning Platform, Mercari
Shotaro Kohama is a Machine Learning Platform engineer working for Mercari, Inc. He develops and manages a platform to run parallel hyperparameter tuning jobs for efficient model exploration and to train models continuously on top of Kubernetes. He also creates and maintains tools... Read More →

Wednesday May 5, 2021 15:05 - 15:40 CEST
ML Theater
  Machine Learning + Data