Site icon R-bloggers

Edward Tufte Keynote Presenter at Data Science Summit, Sep 26-27

[This article was first published on Revolutions, 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.

I'm excited to share that one of my data science heroes will be a presenter at the Microsoft Data Science Summit in Atlanta, September 26-27. Edward Tufte, the data visualization pioneer, will deliver a keynote address on the future of data analysis and the how to make more credible conclusions based on data.

If you're not familiar with Tufte, a great place to start is to read his seminal book Visual Display of Quantitative Information. First published in 1983 — well before the advent of mainstream data visualization software — this is the book that introduced and/or popularized many familiar concepts in data visualization today, such a small multiples, sparklines, and the data-ink ratio. Check out this 2011 Washington Monthy profile for more background on Tufte's career and influence. Tufte's work also influenced R: you can easily recreate many of Tufte's graphics in the R graphics system, including this famous weather chart.

The program for the Data Science Summit looks fantastic, and will also include keynote presentations from Microsoft CEO Satya Nadella and Data Group CVP Joseph Sirosh. Also there's a fantastic crop of Microsoft data scientists (plus yours truly) giving a wealth of practical presentations on how to use Microsoft tools and open-source software for data science. Here's just a sample:

  • Jennifer Marsman will speak about building intelligent applications with the Cognitive Services APIs
  • Danielle Dean will describe deploying real-world predictive maintenance solutions based on sensor data
  • Brandon Rohrer will give a live presentation of his Data Science for Absolutely Everybody series
  • Frank Seide will introduce CNTK, Microsoft's open source deep learning toolkit
  • Maxim Likuyanov will share some best practices for interactive data analysis and scalable machine learning with Apache Spark
  • Rafal Lukawiecki will explain how to apply data science in a business context 
  • Debraj GuhaThakurta and Max Kaznady will demonstrate statistical modeling on huge data sets with Microsoft R Server and Spark
  • David Smith (that's me!) will give some examples of how data science at Microsoft (and R!) is being used to improve the lives of disabled people
  • … and many many more!

Check out the agenda for the breakout sessions on the Data Science Summit page for more. I hope to see you there: it will be a great opportunity to meet with Microsoft's data science team and see some great talks as well. To register, follow the link below.

Microsoft Data Science Summit, September 26-27, Altanta GA: Register Now

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

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.