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Machine learning pipelines are a foundational aspect to scaling machine learning projects and running them in a more effective manner. There are multiple ways to build ML pipelines. Open source tools such as Kubeflow are an easy option, as they have already built the engine to perform such tasks. Kubeflow Pipelines are one of Kubeflow’s components which can be used to build ML pipelines.
Join our technical demo where Andreea Munteanu, AI/ML Product Manager, and Kimonas Sotirchos, Kubeflow Software Engineer, will:
– Talk about key considerations when building ML pipelines
– Learn how to build ML pipelines using Kubeflow
– Give insight of some best practices when using Kubeflow pipelines
Learn more or contact our team:
https://canonical.com/solutions/ai
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