EARL Boston 2016

(This article was first published on Appsilon Data Science - R language, and kindly contributed to R-bloggers)

Last week our CEO, Filip Stachura, gave a speech at EARL conference in Boston titled “Rapid shiny development to blend experts knowledge into machine learning models”.

EARL Boston

Filip spoke to a huge number of R data scientists about how one can improve algorithmic models with a human-experts knowledge. Such approach still delivers better results than pure machine learning models or a manual work.

Filip presenting at the Museum of Science in Boston

Filip presented how we at Appsilon Data Science work on R based project. First of all… we love R and Shiny. We amaze our customers by delivering working dashboards already in the first days of our cooperation. Thanks to that our clients are able to use new insights discovered in provided data to improve almost immediately a decision-making process. What’s more, we provide them with a User Interface, which is much more pleasant and intuitive to work with than Excel sheets.

With our libraries UI can be greatly improved in dashboards.

At EARL Filip presented also our two internal extensions for Shiny for building even more beautiful and reactive apps. First one allows us to use SemanticUI web library components and second one is a wrapper for a No-SQL real-time databases, like RethinkDB or even MongoDB, which allows us to build a distributed R apps with a realtime collaboration. We are planning to release them as open-source libraries in the first quarter of 2017.

Filip made his presentation in R Markdown, where he embedded a sample app utilising both mentioned libraries and we want to share it with you all. Check it out:

Feel free to get in touch, if you want to know more about this topics.



NOTE! in this presentation you can navigate using keyboard arrows ← → or swipe gesture)

Direct link

To leave a comment for the author, please follow the link and comment on their blog: Appsilon Data Science - R language.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Sponsors

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)