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.

Benjamin Uminsky

Los Angeles County Registrar-Recorder/County Clerk
Data Scientist
Greater Los Angeles Area

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Handling and analyzing spatial, spatiotemporal and movement data (Part 1) SIEPR 120

10:15am PDT

Coffee Break McDowell & Cranston

10:30am PDT

Handling and analyzing spatial, spatiotemporal and movement data (Part 2) SIEPR 120

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

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

2:15pm PDT

Coffee Break Lane

2:30pm PDT

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

4:00pm PDT

Short Break McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits 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

trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R McCaw Hall

11:24am PDT

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

11:42am PDT

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

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

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

Coffee Break w/ Poster Session McCaw Hall High-performance R with FastR Sponsor Pavilion

4:45pm PDT

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato

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

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

Importing modern data into R SIEPR 130

11:24am PDT

Grid Computing in R with Easy Scalability Econ 140

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

1:18pm PDT

A Lap Around R Tools for Visual Studio McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

11:10am PDT

Event Detection with Social Media Data Econ 140

11:25am PDT

Outlier Detection Methods Econ 140