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.

Dirk Eddelbuettel

Debian and R Projects
Chicago, IL

dirk.eddelbuettel.com

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

Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane

2:30pm PDT

Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2) Lane

4:15pm PDT

What's up with the R consortium? McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:36pm PDT

CVXR: An R Package for Modeling Convex Optimization Problems McCaw Hall

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

3:30pm PDT

Literate Programming McCaw Hall

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130

5:39pm PDT

xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Profvis: Profiling tools for faster R code Econ 140

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:06am PDT

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

11:24am PDT

Grid Computing in R with Easy Scalability Econ 140

11:42am PDT

Interactive Terabytes with pbdR Econ 140

1:00pm PDT

Run-time Testing Using assertive SIEPR 130

1:18pm PDT

Tools for Robust R Packages SIEPR 130

1:36pm PDT

Extending CRAN packages with binaries: x13binary SIEPR 130

1:54pm PDT

Checkmate: Fast and Versatile Argument Checks SIEPR 130

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:30am PDT

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:42am PDT

Most Likely Transformations McCaw Hall

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall

My Moderators Sessions

10:30am PDT

Profvis: Profiling tools for faster R code Econ 140

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:06am PDT

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

11:24am PDT

Grid Computing in R with Easy Scalability Econ 140

11:42am PDT

Interactive Terabytes with pbdR Econ 140