Data Science at Scale with R on GCP (Cloud Next '19)

Kelvion New Plate Heat Exchanger


Cloud computing has opened up new opportunities for the R programming community. Google Cloud lets R developers enhance and scale their data science work to large complex datasets. We will cover (1) managed GCP services for R (2) training & serving architectures and (3) end-to-end R pipelines on GCP

“Announcing the beta release of SparkR job types in Cloud Dataproc → https://bit.ly/2K6wFo3
Cloud Machine Learning Engine → https://bit.ly/2K55JF3”

Watch more:
Next ’19 ML & AI Sessions here → https://bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Speaker(s): Mikhail Chrestkha, Christopher Crosbie, Greg Mikels

Session ID: MLAI214
product:Cloud ML Engine,Cloud Dataproc,BigQuery,APIs,TensorFlow; fullname:Mikhail Chrestkha,Christopher Crosbie,Greg Mikels;


Duration: 41:8
Publisher: Google Cloud
You can watch this video also at the source.