Edward Tufte, a pioneer of data visualization, will deliver a keynote address at the Microsoft Data Science Summit on the future of data analysis—and how to draw more credible conclusions from your data.
If you’re not yet familiar with Tufte’s work, take a look at his seminal book The Visual Display of Quantitative Information. It’s a breathtaking display of information design—a master class in presenting data clearly and powerfully. It’s the book that introduced and popularized many concepts that are bedrocks of data visualization today, such as small multiples and the data-ink ratio. Or check out this Washington Monthly 2011 profile, “The Information Sage,” for background on Tufte’s career and ongoing 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 Microsoft Data Science Summit will also feature a keynote presentation by Joseph Sirosh, CVP of the Microsoft Data Group, and a fantastic crop of data scientists, machine learning specialists, and big data engineers giving a wealth of demos, talks, and practical tips on using Microsoft tools and open-source software in data science. Here’s just a small sample:
- David Smith will share ways that Microsoft is improving the lives of people around the world—and in particular, people with disabilities—by applying statistics, research, and open-source software. He’ll talk about how you can develop similar applications yourself, using the open-source R language with Microsoft advanced analytics products.
- 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, the Microsoft 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.
Check out the agenda for detailed information about all the topics, presenters, and hands-on sessions. It’s a full two days—with lots of opportunities to meet with the Microsoft data science team, build new skills, and gather information you can put to work right away. Join us.
Microsoft Data Science Summit, September 26–27, Atlanta GA: Register Now.