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MN
Michael Nielsen
United Services Automobile Association
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
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
Regression Modeling Strategies and the rms package (Part 1)
Lyons & Lodato
2:30pm PDT
Regression Modeling Strategies and the rms package (Part 2)
Lyons & Lodato
Tuesday
, June 28
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
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
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
1:36pm PDT
CVXR: An R Package for Modeling Convex Optimization Problems
McCaw Hall
1:54pm PDT
Statistics and R in Forensic Genetics
McCaw Hall
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
2:30pm PDT
Coffee Break w/ Poster Session
McCaw Hall
3:30pm PDT
Literate Programming
McCaw Hall
4:30pm PDT
Short Break
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
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:00am PDT
Coffee Break with Poster Exhibits
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
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
2:30pm PDT
Coffee Break with Poster Session
McCaw Hall
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
10:00am PDT
Coffee Break w/ Poster Exhibits
McCaw Hall
10:30am PDT
Shiny Gadgets: Interactive tools for Programming and Data Analysis
McCaw Hall
10:48am PDT
Authoring Books with R Markdown
McCaw Hall
11:24am PDT
DataSHIELD: Taking the analysis to the data
McCaw Hall
11:42am PDT
Most Likely Transformations
McCaw Hall
12:00pm PDT
Lunch w/ Poster Exhibits
McCaw Hall
1:00pm PDT
Catching up with Rstudio
Lane & Lyons & Lodato
1:20pm PDT
R for Big Data and Applications: Using R at Oracle
Lane & Lyons & Lodato
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
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Deborah Nolan
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R Initiatives
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Longyi Bi
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