Distributed Machine Learning in SparkR/sparklyr-continues - Databricks

Distributed Machine Learning in SparkR/sparklyr-continues

In this course students will learn how to apply machine learning techniques in a distributed environment using SparkR and sparklyr. Students will learn about the Spark architecture, Spark Dataframe APIs, build linear and tree-based models, and perform hyperparameter tuning and pipeline optimization. The class is a combination of lectures, demos and hands-on labs. This course is taught entirely in R.



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