"Briefing on the Modern ML Stack with R" for Spark and AI Summit Europe 2019.
"Data workflows in RStudio Connect with pins" for Procogia Roadshow.
A use case for the pins package showcasing how to reuse tidy datasets while doing data analysis.
This talk should be of interest to new users that are unfamiliar to cluster computing, intermediate users that have used Apache Spark with R and advanced users interested in learning the latest best practices and features available in Spark with R.
In this talk you will learn how to analyze large datasets, in realtime, from R using Apache Spark through the sparklyr R package. We will briefly introduce Apache Spark, sparklyr and give you a few examples and resources to use dplyr, broom, MLlib and mleap with Spark, from R. This talk will introduce Structured Streaming in Spark using R, we will discuss various use cases and the supported tools and workflows. You will also learn how to easily configure Apache Arrow with R on Apache Spark, which will allow you to gain speed improvements and expand the scope of your data science workflows; for instance, by enabling data to be efficiently transferred between your local environment and Apache Spark.
A brief notebook describing how to use the voxels package.
Lighting talk presenting voxels to interactive render voxel worlds in R
Instructor(s): Kevin Kuo, RStudio; Javier Luraschi, RStudio This is a practical introduction to neural networks with interactive coding exercises in R. We provide an overview of different types of neural network architectures and how they can be applied in a variety of applications.
A Broad Packages Talk - Seattle useR Presents various R packages I've been authored or co-authored around scaling, visualization, deep learning and interoperability. https://www.meetup.com/Seattle-useR/events/260225995/
Running R at Scale with Apache Arrow on Spark - Spark Summit 2019
Slides for "Scaling R with Spark" rstudio::conf 2019 talk.
Slides for MLFlow with R for Seattle R Users meetup.
spark_apply() profile under sparklyr and arrow for https://github.com/rstudio/sparklyr/pull/1611
MLflow with R - Bay Area MLflow Meetup
Slides for the "Distributed Data Science with sparklyr" talk in JSM 2018 under the "Cloud and Distributed Computing for Statisticians — Invited Papers" track.
Sunburst visualization published using R2D3.
An R profile over NYC flights for sparklyr's spark_apply using a subset of this dataset.
An rmarkdown presentation using kerasjs to render a deep learning model into a slide all built from R.
Notebook with some of the resources used in the sparklyr extensions webinar.
Spark Summit 2017 slides for the "SPARKLYR: RECAP, UPDATES, AND USE CASES" session.
A list of all RStudio images
R and Spark - rstudio::conf - https://www.rstudio.com/conference/