MANAGING THE MACHINE LEARNING LIFECYCLE
Best Practices for MLOps with MLFlow
Zoltan C.Toth, CTO at Datapao and Subject Matter Expert for MLOps with a vast experience setting up and optimizing all kinds of data science projects. His team is consulting and training companies on how to build analytics infrastructure. He is also a Databricks Partner, the company behind the Apache Spark, and MLflow. He has solid experience working with RapidMiner and Spark, managing a petabyte-scale data infrastructure at Prezi.
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 technologyworking with experimentstracking and analyzing ML model metricsusing MLflow central model store to manage a model's lifecycle