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Deploy and Monitor Heterogeneous Machine Learning Apps with Clipper (Dan Crankshaw)

260 views · Published 27 September 2018 · 30:53 · Indexed 20 October 2026

Channel: Databricks · 2018 · Science & Technology

Dan Crankshaw, a PhD student in the UC Berkeley, explains how machine learning is being deployed in a growing number of applications which demand real-time, accurate, and robust predictions under heavy serving loads. However, most machine learning frameworks and systems only address model training and not deployment.

Learn more here: https://databricks.com/session/deploying-and-monitoring-heterogeneous-machine-learning-applications-with-clipper

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Deploy and Monitor Heterogeneous Machine Learning Apps with Clipper (Dan Crankshaw)

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