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avatar for Raphaël Nedellec

Raphaël Nedellec

EDF R&D
Paris Area, France
Tuesday, June 28
 

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

edeaR: Extracting knowledge from process data Econ 140

10:48am PDT

Implementing R in old economy companies: From proof-of-concept to production Econ 140

11:06am PDT

R: The last line of defense against bad debt Econ 140

11:24am PDT

Automating our work away: One consulting firm's experience with KnitR Econ 140

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

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

What can R learn from Julia Lane & Lyons & Lodato

1:54pm PDT

Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:12pm PDT

RosettaHUB-Sheets, a programmable, collaborative web-based spreadsheet for R, Python and Spark Lane & Lyons & Lodato

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston

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

6:30pm PDT

Welcome Reception Bing Concert Hall
 
Wednesday, June 29
 

10:30am PDT

OPERA: Online Prediction by ExpeRts Aggregation Barnes & McDowell & Cranston

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

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

Reusable R for automation, small area estimation and legacy systems Barnes & McDowell & Cranston

1:18pm PDT

How to use the archivist package to boost reproducibility of your research Barnes & McDowell & Cranston

1:36pm PDT

GNU make for reproducible data analysis using R and other statistical software Barnes & McDowell & Cranston

1:54pm PDT

The simulator: An Engine for Streamlining Simulations Barnes & McDowell & Cranston

2:12pm PDT

Providing Digital Provenance: from Modeling through Production Barnes & McDowell & Cranston

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall
 
Thursday, June 30
 

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

11:06am PDT

Using Shiny for Formative Assessments Barnes & McDowell & Cranston

11:24am PDT

Revolutionize how you teach and blog: add interactivity Barnes & McDowell & Cranston

11:42am PDT

Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

2:00pm PDT

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