Abstract
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MLOps is a very popular word these days in the ML community. In this talk, Pavlos will explain what MLOps is about and why it's important in order to scale ML at your organization. Additionally, Pavlos will provide best practices and tips on how you can build an MLOps platform without the need to hire 10 software engineers and data scientists.

About the speaker
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Pavlos Mitsoulis is a Staff Data Scientist leading the Reinforcement Learning team at Expedia Group and the co-creator of Sagify, an open source MLOps CLI tool to easily train, tune and deploy ML models on Sagemaker by implementing just a train and a predict function. His interests are around MLOps and Contextual Multi-Armed-Bandits these days.


PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks. CREDITS: PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w