The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Do, share, teach and learn data science
Let us host your Shiny applications
The premier software bundle for data science teams
RStudio for the Enterprise
Connect data scientists with decision makers
Control and distribute packages
Large scale machine learning using TensorFlow, BigQuery and CloudML Engine within RStudio
March 4, 2018
Deep Learning continues to be the state-of-the-art in machine learning, and Google has partnered with RStudio to make the field's cutting-edge tools available to useRs. RStudio is now the preferred R environment for accessing terabytes of data in BigQuery, fitting models in TensorFlow and running machine learning models at scale with Cloud ML Engine. In this talk, Michael Quinn will be presenting the latest integrations between RStudio and Google Cloud Platform, showing how you can go from scratch to deep-learning in production, all within RStudio. He'll do this with an end-to-end demo of building a machine learning model on a year's worth of Google Analytics data.
Originally from Cheyenne, Wyoming, Michael holds a BA in Literature, an MSc in Stats and an MBA in Finance from the Kazakhstan Institute of Management, Economics and Strategic Research (aka KIMEP University). At work, Michael builds tools in R and other languages to empower other analysts to do amazing things. He is a contributor to the skimr package and likes spending his free time hiking, riding his bike and getting corrected by his three-year-old daughter.