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.

ML

Michel Lang

TU Dortmund University
lang@statistik.tu-dortmund.de

https://statistik.tu-dortmund.de/lang00.html

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

R in machine learning competitions McCaw Hall

10:48am PDT

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

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

Covr: Bringing Code Coverage to R Econ 140 mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions SIEPR 130

5:39pm PDT

A Future for R Econ 140

5:57pm PDT

Rethinking R Documentation: an extension of the lint package Econ 140

6:30pm PDT

Welcome Reception Bing Concert Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

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

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

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

10:48am PDT

Authoring Books with R Markdown McCaw Hall

10:50am PDT

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

11:42am PDT

Most Likely Transformations McCaw Hall

1:00pm PDT

Hash Tables in R are Slow SIEPR 130

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

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