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Managing the Machine Learning Lifecycle - Best Practices for MLOps with MLFlow
Автор: Vienna Data Science Group
Загружено: 2020-05-25
Просмотров: 1321
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This talk is an introduction to MLflow, an open-source platform for managing the end-to-end machine learning(ML) lifecycle. In this webinar, you will see a hands-on presentation on how to track and serve ML lifecycle with the help of MLflow. Plus, attendees will get all notebooks and datasets that will be used during the webinar.
YOU WILL LEARN ABOUT:
MLflow technology
working with experiments
tracking and analyzing ML model metrics
using MLflow central model store to manage a model's lifecycle
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