EARL London 2018 – Agenda announced

[This article was first published on Mango Solutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The EARL London 2018 agenda is now available. Explore the schedule of keynotes, presentations, and lightning talks that cover a huge range of topics, including the best uses of Shiny, R in healthcare, using R for good, and R in finance. The brilliant lineup of speakers-who represent a wide range of industries-is sure to provide inspiration for all R users of all levels.

We have surveyed the Mango team to find out what talks they are most looking forward to:

Lung cancer detection with deep learning in R – David Smith, Microsoft
David will be taking us through an end-to-end example of building a deep learning model to predict lung cancer from image data. Anything that helps to improve healthcare is a fascinating subject.

Using network analysis of colleague relationships to find interesting new investment managers – Robin Penfold, Willis Towers Watson
Using the tidyverse, tidygraph and ggraph, Robin has established a way to save time and money by researching the backgrounds of all institutional investors in one go, as opposed to one at a time.

As right as rain: developing a sales forecasting model for Dyson using R – Dan Erben, Dyson
We love hearing about how organisations have adopted a data-driven approach using R. Dan’s talk will summarise how Dyson developed a statistical model for sales forecasting and the path they have taken to adopt it in the business.

Interpretable Machine Learning with LIME: now and tomorrow – Kasia Kulma, Aviva
Explaining models is a really valuable tool in communicating with the business. Kasia will be using breast cancer data as a specific case scenario.

Text mining in child social care – James Lawrence, The Behavioural Insight Team
James will be sharing how The Behavioural Insight Team have been able to use R’s text mining tools on unstructured data to improve child social services actions, significantly reducing the potential for harm without overburdening an already stretched social service provider.

Experience of using R in the productive environment of Boehringer Ingelheim – Matthias Trampisch, Boehringer Ingelheim
Boehringer Ingelheim have been making headway with R and Matthias will be sharing their journey.

Using R to Drive Revenue for your Online Business – Catherine Gamble, Marks and Spencer
Online business is fast-paced and competitive, Catherine shares how Marks and Spencer have been using R to gain the upperhand and a make difference to their bottomline.

Don’t miss out on early bird tickets

Buy your tickets before 31 July to make the most of the early bird ticket prices – a full conference pass–which includes workshops, access to the conference presentations, and a ticket to the evening event at the Imperial War Museum–is only £800. Buy tickets now.

To leave a comment for the author, please follow the link and comment on their blog: Mango Solutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)