Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Schedule: R sessions

1:30pm5:00pm Tuesday, September 26, 2017
Jared Lander (Lander Analytics)
Average rating: ***..
(3.25, 4 ratings)
Modern statistics has become almost synonymous with machine learning—a collection of techniques that utilize today's incredible computing power. Jared Lander walks you through the available methods for implementing machine learning algorithms in R and explores underlying theories such as the elastic net, boosted trees, and cross-validation. Read more.
1:15pm1:55pm Thursday, September 28, 2017
Big data and the Cloud, Machine Learning & Data Science
Location: 1A 08/10 Level: Intermediate
Edgar Ruiz (RStudio)
Average rating: ****.
(4.00, 1 rating)
With R and sparklyr, a Spark standalone cluster can be used to analyze large datasets found in S3 buckets. Edgar Ruiz walks you through setting up a Spark standalone cluster using EC2 and offers an overview of S3 bucket folder and file setup, connecting R to Spark, the settings needed to read S3 data into Spark, and a data import and wrangle approach. Read more.