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Tuesday, October 16 • 11:00am - 11:20am
Production Machine Learning with a Domain Specific Language

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Many currently available machine learning (ML) platforms focus on algorithms, but gloss over many of the other difficult parts of operating a scalable, production quality ML training and prediction system. We describe a machine learning platform that focuses on abstracting away the most difficult parts of operationalizing ML system including flexible yet performant feature extraction via a custom-designed domain-specific language(DSL), a low-latency model prediction service using ensembles of models in a single prediction, and a model management system for tracking versions of a model over time.

avatar for Zachary Kozick

Zachary Kozick

Sr Software Engineer, ML Platform, Nanigans
Zach Kozick is a Sr Software Engineer who has worked at Nanigans for over 5 years. He's made significant contributions to Nanigans' data ingestion and processing infrastructure, and has lead development of their in-house machine learning framework NanML, the subject of his talk... Read More →

Tuesday October 16, 2018 11:00am - 11:20am EDT
Deborah Sampson