17 Feb On location at Wibautstraat 202, 1091 GS Amsterdam, The Netherlands

Building a Scalable and reliable open source ML Platform with MLFlow

February 17, 2023 / 4:30 pm - 5:15 pm

MLFlow has been widely used as a reliable ML experiment tracking and model registry to pave the way towards MLOps. However, its flexibility also imposes challenges on having a robust and consistent way working across different scenarios. In this talk we will have a closer look at how to properly use MLFlow in combination with other open source frameworks such as Airflow and Kubernetes to further mature the lifecycle of machine learning use cases.

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Schedule

4:30 pm

Building a Scalable and reliable open source ML Platform with MLFlow

MLFlow has been widely used as a reliable ML experiment tracking and model registry to pave the way towards MLOps. However, its flexibility also imposes challenges on having a robust and consistent way working across different scenarios. In this talk we will have a closer look at how to properly use MLFlow in combination with other open source frameworks such as Airflow and Kubernetes to further mature the lifecycle of machine learning use cases.

Host

Cristiano Rocha Data Engineer Xebia

Guests

Sander van Donkelaar Machine Learning Engineer Xebia