MLflow: An Open Platform to Simplify the Machine Learning Lifecycle
Video with transcript included: http://bit.ly/33YX5gH
Corey Zumar offers an overview of MLflow – a new open source platform to simplify the machine learning lifecycle from Databricks. MLflow provides APIs for tracking experiment runs between multiple users within a reproducible environment and for managing the deployment of models to production. MLflow is designed to be an open, modular platform.
This presentation was recorded at QCon New York 2019: http://bit.ly/2KFk7SO
The next QCon is QCon London 2020 – March 2-4, 2020: http://bit.ly/2VfRldq
For more awesome presentations on innovator and early adopter topics check InfoQ’s selection of talks from conferences worldwide https://bit.ly/2tm9loz
#MLflow #MachineLearning #SOA
Видео MLflow: An Open Platform to Simplify the Machine Learning Lifecycle канала InfoQ
Corey Zumar offers an overview of MLflow – a new open source platform to simplify the machine learning lifecycle from Databricks. MLflow provides APIs for tracking experiment runs between multiple users within a reproducible environment and for managing the deployment of models to production. MLflow is designed to be an open, modular platform.
This presentation was recorded at QCon New York 2019: http://bit.ly/2KFk7SO
The next QCon is QCon London 2020 – March 2-4, 2020: http://bit.ly/2VfRldq
For more awesome presentations on innovator and early adopter topics check InfoQ’s selection of talks from conferences worldwide https://bit.ly/2tm9loz
#MLflow #MachineLearning #SOA
Видео MLflow: An Open Platform to Simplify the Machine Learning Lifecycle канала InfoQ
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