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.

Carmelo Vecchio

Cuebiq
Data Scientist
Milan Area, Italy

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Handling and analyzing spatial, spatiotemporal and movement data (Part 1) SIEPR 120 Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:15am PDT

Coffee Break SIEPR 120 Coffee Break Lyons & Lodato

10:30am PDT

Handling and analyzing spatial, spatiotemporal and movement data (Part 2) SIEPR 120 Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

12:00pm PDT

Lunch SIEPR 120

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130

2:15pm PDT

Coffee Break SIEPR 120

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130

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

11:06am PDT

Taking R to new heights for scalability and performance 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

2:30pm PDT

RCAP Designer: An RCloud Package to create Analytical Dashboards Sponsor Pavilion

4:45pm PDT

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

5:03pm PDT

New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

5:39pm PDT

RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston

5:57pm PDT

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

8:00am PDT

Registration check-in McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

1:00pm PDT

A spatial policy tool for cycling potential in England SIEPR 120

1:18pm PDT

SpatialProbit for fast and accurate spatial probit estimations SIEPR 120

1:36pm PDT

Revisiting the Boston data set (Harrison and Rubinfeld, 1978) SIEPR 120

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120

2:12pm PDT

High performance climate downscaling in R SIEPR 120