EARL US Roadshow 2018 – agenda announced
This article is originally published at https://www.mango-solutions.com
We are delighted to announce that the full EARL US Roadshow agendas are now available! Each city has a different line-up of world-class speakers and R experts for you to explore. EARL focuses on the business application of R and will showcase many fascinating and inspiring use cases from a range of industry sectors.
We wanted to share with you just some of the talks we are looking forward to in each city:
Seattle – 7 November
R use cases: Examining influence of roadway design features on drivers’ speed choice in Washington – Joonbum Lee, Battelle Memorial Institute
Joonbum will present on R use cases for transportation safety and how he uses R to identify roadway characteristics associated with speeding – he is an industrial engeering Ph.D with a background in Human Factors and driving safety.
Building and deploying an image recognition model in R using Google Cloud and RStudio – Christopher Crosbie, Google
For R users looking to leverage cloud computing, Christopher’s presentation will cover building an image recognition model using Google Cloud ML Engine and R Studio and then deploying it to the web via an R-Shiny dashboard.
Houston – 9 November
Hadley Wickham, RStudio and Robert Gentleman, 23andMe
We are beyond thrilled to have not only one of the originators of the R language but also R’s most famous package developer joining us in Houston. We can’t wait to hear from both of our incredible keynote speakers.
R-bots for Data Science workflow automation – Sydeaka Watson, AT&T Chief Data Office
Sydeaka’s talk will cover the subject of R-bots and how to produce a truly end-to-end solution for data science work flow automation.
Boston – 13 November
Predicting likelihood of engine failure in light duty trucks – Omari Faakye, Holman Strategic Ventures
Omari will be talking about the importance of predicting possible component failure to help avoid or reduce the increasing cost of breakdowns. His talk will walk through the challenging process of feature selection and engineering, training the model and final deployment all from a single laptop.
Not Hotdog: Image recognition with R and the Custom Vision API – David Smith, Microsoft
In David’s talk, he will use R in conjunction with the Microsoft Custom Vision API to train and use a custom vision recognizer. He will be using an example motivated by the TV series ‘Silicon Valley’ and with just a couple of hundred images of food, create a function in R that can detect whether or not a given image contains a hot dog.
We hope you’re as excited as we are about the EARL US Roadshow, we can’t wait to meet R-enthusiasts from all over the US.
Make sure you don’t miss out on our early bird tickets – which are on sale until 31 August. Get yours now!
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