Speaker: Evan Miller

He / him / his

Principal Statistics Engineer @Eppo (Creator of Evan's Awesome A/B Tools)

With a bachelor's degree in physics and a secret past as an Operational Excellence Engineer at Amazon.com, Evan Miller has made a career attempting to thread the needle between mathematical modeling and practical engineering challenges. "Evan's Awesome A/B Tools", a set of JavaScript calculators he made in grad school, are now used throughout the A/B testing industry, helping practitioners plan their experiments with the appropriate amount of statistical power. His blog is known in the hackersphere for bringing clarity to statistical problems and a touch of humor to endless Internet debates about programming languages. For nearly a decade, Evan made his way as an independent Mac developer, making easy-to-use apps for data analysis. Most recently, he has combined his knowledge of statistics with his engineering expertise in the unique role of a Statistics Engineer, where he helps Eppo build out a world-class, warehouse-native experimentation platform for companies that appreciate the perils of trying to build one themselves.

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Session

Back to Basics: Scalable, Portable ML in Pure SQL

Redshift has SageMaker. BigQuery begat BigML. Spark birthed Databricks. Every data warehouse is tightly coupled to a particular ML stack.

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Date

Thursday Jun 15 / 02:55PM EDT ( 50 minutes )

Location

Dumbo / Navy Yard

Topics

ML in Practice MLOps Data Architecture

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