Talks from the LA R Community
Come to the R December Meetup to hear talks from the community!
In the last month, the organizers of the R Meetup sent out a call for speakers, and the community answered with a number of great members coming forward willing and able to talk about some of the cool ways they are using the R Data Science ecosystem to do cool stuff.
Talks are still being finalized, but be prepared for an evening with at least 5-6 speakers from companies ranging from Scopely to Domino Data Lab. Keep your eyes on this event as speakers will be finalized. The current list of speakers includes (this may change before the day of the event):
Phillip Black - Video Game Analyst at Scopely - With hundreds of possible "cuts of the data", how do you persuade individuals of your arguement rather than confirm someone else's? I argue for leading horses to water and letting them drink. R is a powerful tool to help in this. Interaction analysis leads to a process of self-discovery for managers.
Edan Shalev - co-founder and CTO at Doctor Evidence - Doctor Evidence is an evidence based medicine technology company. It’s main product, DOC Data™ which has been refined over the last 12 years, is a web-based software as a service platform that uses R to help manufactures, policy makers and researchers make informed decisions. Published clinical trials are digitally available on the platform to allow users to quickly perform direct meta analysis, indirect Bayesian network meta analysis and other analyses in R via it’s user friendly web interface.
Samuel Chang - Director of Data Science at Sony Pictures Entertainment - An introduction to tools to visualize similar movies using Shiny, igraph, and ggplot.
Chris Econn - Head of DevOps, CorpInfo - Introduction of the data pipeline we built for Tugg, Inc to track user engagement and provide real time analytics, and the role R plays in that ecosystem.
Shu Liu - currently a master’s student at USC Viterbi Engineering School. He has a multidisciplinary background in math, economics, and financial engineering. Being able to look at problems from both marketing and technical perspectives, he is passionate about combining innovative ideas with advanced quantitative approaches using data science tools. Talking about Crime and collision have always been the major concern for people in Los Angeles. This topic talks about an interactive data visualization web application(ShinyApp) which focuses on crime and collision in Los Angeles from 2011 to 2014. In this ShinyApp, three features of crime and collision were investigated: geographical distribution, crime and collision time, and crime and collision types. The presenter will talk about the project from both technical and analytical perspectives
Szilard Pafka - Chief Scientist at Epoch, founder of the LA R Meetup & co-founder of DataScience.LA - Talk title: Deep Learning in R.
The talks will be short punchy talks, designed to get good information disseminated in the community, and get you more productive and excited about new tools and techniques! Full speaker bios to follow!
– 6:30pm arrival, food/drinks and networking
– 7:30pm introductions, main talk
– 8:30pm or 9 p.m. - networking and conversation
– 9:30pm closing
You must have a confirmed RSVP and please arrive by 7:25pm the latest. Please RSVP here on Eventbrite.
Venue: Edmunds, 2401 Colorado Avenue (this is Edmunds' NEW LOCATION, don't go to the old one)
Update: Park underneath the building (Colorado Center), Edmunds will validate.