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Orchestrating Machine Learning Workflows with Prefect

Posted Mar 04, 2022 | Views 594
# Coding Workshop
# Presentation
# ML Orchestration
# Prefect
# Prefect.io
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Kevin Kho
Open Source Community Engineer @ Prefect

Kevin Kho is an Open Source Community Engineer at Prefect, an open-source workflow orchestration management system. Previously, he was a data scientist for four years working in the energy and HR spaces. Outside of work, he is a contributor for Fugue, an abstraction layer for Pandas, Spark, and Dask. He also organizes the Orlando Machine Learning and Data Science Meetup.

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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Ben Epstein
Founding Software Engineer @ Galileo

Ben was the machine learning lead for Splice Machine, leading the development of their MLOps platform and Feature Store. He is now a founding software engineer at Galileo (rungalileo.io) focused on building data discovery and data quality tooling for machine learning teams. Ben also works as an adjunct professor at Washington University in St. Louis teaching concepts in cloud computing and big data analytics.

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SUMMARY

Prefect is a general-purpose workflow orchestration management system that enables users to build, run, and monitor data pipelines at scale.

In this talk, Kevin shows how to orchestrate a full ML hyperparameter grid search pipeline over a Dask cluster. Other tools included will be Pandera, Tune, and Evidently AI.

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