Apache® Spark™ MLlib 2.x: Migrating ML Workloads to DataFrames
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.
No matter at what stage of your data journey you’re in, this channel will help you get a better understanding of the fundamental concepts of the Databricks Lakehouse platform and the problems we’re helping to solve for data teams.…