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Streamlining AI Prototyping and Deployment with R and MLflowKevin Kuo RStudio

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Published on May 6, 2019

We provide a recap of the MLflow R interface which was announced at Spark+AI Summit Europe and discuss recent developments. The session includes a live demo showcasing the intersection of big data (Spark) and deep learning (via TensorFlow) and how the end-to-end lifecycle from prototyping to deployment can be managed by MLflow.

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