From Naive to Advanced ML Pipelines with MLflow 

Join us for "From Naive to Advanced ML Pipelines with MLflow” on Thursday, May 30th at 10AM PST/1PM EST! 🗓 This session is designed for machine learning practitioners and data scientists looking to streamline their ML deliverables efficiently.
In this webinar, Denny Lee (Databricks), Andrew Bauman and Irena Kushner (Accolade, Inc.) will explore how starting with a simple (naive) ML pipeline and progressively introducing complexity can significantly ease the management of machine learning deliverables. Using powerful open source tools like Delta tables and MLflow, you will learn how to enhance your ML workflows from the ground up.
Learn more: mlflow.org/
Join the MLflow community slack: go.mlflow.org/slack
Check out GitHub: project github.com/mlflow

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