This event has ended. Visit the official site or create your own event on Sched.

user2016

Click here to return to main conference site. For a one page, printable overview of the schedule, see this.

RC

Russ Conte

Northwestern University (student)
Forest Park, IL

I'm a recruiter for a Fortune 500, while also a graduate student at Northwestern University in data science. My interests are all over the place, from snowboarding to history, music, counseling, comedy and a lot more.
Feel free to say hi, and share your interests and dreams!

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

1:00pm PDT

Extracting data from the web APIs and beyond (Part 1) Campbell Rehearsal Hall

2:30pm PDT

Extracting data from the web APIs and beyond (Part 2) Campbell Rehearsal Hall

4:15pm PDT

What's up with the R consortium? McCaw Hall

4:40pm PDT

Presentation of the Women in R task force McCaw Hall

5:00pm PDT

R-Ladies Presentation 1 McCaw Hall

5:10pm PDT

R-Ladies Presentation 2 McCaw Hall

5:20pm PDT

Discussion McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

R in machine learning competitions McCaw Hall

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

United Nations World Population Projections with R McCaw Hall

11:42am PDT

How can I get everyone else in my organisation to love R as much as I do? Econ 140

1:18pm PDT

Transforming a museum to be data-driven using R McCaw Hall

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Using R in the evaluation of psychological tests Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

R at Microsoft McCaw Hall

5:03pm PDT

When will this machine fail? SIEPR 120

5:39pm PDT

R AnalyticFlow 3: Interactive Data Analysis GUI for R Lane & Lyons & Lodato

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Predicting individual treatment effects Lane & Lyons & Lodato

10:48am PDT

Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

11:06am PDT

Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO Econ 140

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:15am PDT

Building a High Availability REST API Engine for R SIEPR 120

11:20am PDT

Automated clinical research tracking and assessment using R-Shiny SIEPR 120

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:20pm PDT

How Teradata Aster R Scales Data Science Lane & Lyons & Lodato

1:30pm PDT

Statistical Computing with R Lane & Lyons & Lodato

1:40pm PDT

Changing lives with Data Science at Microsoft Lane & Lyons & Lodato

1:55pm PDT

Bringing the Power of R to Citizen Data Scientists Lane & Lyons & Lodato

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato

2:30pm PDT

The Use of Ensemble Learning Methods in Open Source Data Challenges Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall