Apache® Spark™ MLlib 2.x: Migrating ML Workloads to DataFrames

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Presented by

Joseph K. Bradley and Jules S. Damji

About this talk

In the Apache® Spark™ 2.x releases, Machine Learning (ML) is focusing on DataFrame-based APIs. This webinar is aimed at helping users take full advantage of the new APIs. Topics will include migrating workloads from RDDs to DataFrames, ML persistence for saving and loading models, and the roadmap ahead.

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