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JW
Jared Wolf
J.B. Hunt Transport
Statistician
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Machine Learning Algorithmic Deep Dive (Part 1)
Campbell Rehearsal Hall
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1)
Econ 140
10:30am PDT
Machine Learning Algorithmic Deep Dive (Part 2)
Campbell Rehearsal Hall
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2)
Econ 140
1:00pm PDT
Regression Modeling Strategies and the rms package (Part 1)
Lyons & Lodato
Understanding and creating interactive graphics (Part 1)
McDowell & Cranston
2:30pm PDT
Regression Modeling Strategies and the rms package (Part 2)
Lyons & Lodato
Understanding and creating interactive graphics (Part 2)
McDowell & Cranston
Tuesday
, June 28
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
RcppParallel: A Toolkit for Portable, High-Performance Algorithms
SIEPR 130
11:06am PDT
Bayesian analysis of generalized linear mixed models with JAGS
Barnes & McDowell & Cranston
R: The last line of defense against bad debt
Econ 140
Taking R to new heights for scalability and performance
SIEPR 130
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
Fitting complex Bayesian models with R-INLA and MCMC
Barnes & McDowell & Cranston
United Nations World Population Projections with R
McCaw Hall
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
Experiences on the Use of R in the Water Sector
SIEPR 120
1:36pm PDT
A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho
SIEPR 120
bigKRLS: Optimizing non-parametric regression in R
Barnes & McDowell & Cranston
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
2:30pm PDT
Coffee Break w/ Poster Session
McCaw Hall
Integrating R & Tableau
Sponsor Pavilion
Statistics and R for Analysis of Elimination Tournaments
Sponsor Pavilion
Using R in the evaluation of psychological tests
Sponsor Pavilion
Visualizations and Machine Learning in R with Tessera and Shiny
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
4:45pm PDT
How to keep your R code simple while tackling big datasets
Barnes & McDowell & Cranston
mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions
SIEPR 130
R at Microsoft
McCaw Hall
5:03pm PDT
Deep Learning for R with MXNet
SIEPR 130
Inside the Rent Zestimates
Barnes & McDowell & Cranston
When will this machine fail?
SIEPR 120
5:21pm PDT
Data validation infrastructure: the validate package
Barnes & McDowell & Cranston
5:39pm PDT
A Future for R
Econ 140
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
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:30am PDT
Predicting individual treatment effects
Lane & Lyons & Lodato
10:40am PDT
Tie-ins between R and Openstreetmap data
SIEPR 120
10:48am PDT
Size of Datasets for Analytics and Implications for R
Econ 140
10:50am PDT
madness: multivariate automatic differentiation in R
SIEPR 120
10:55am PDT
rempreq: An R package for Estimating the Employment Impact of U.S. Domestic Industry Production and Imports
SIEPR 120
11:00am PDT
Text Mining and Sentiment Extraction in Central Bank Documents
SIEPR 120
11:06am PDT
On the emergence of R as a platform for emergency outbreak response
McCaw Hall
11:10am PDT
Scaling R for Business Analytics
SIEPR 120
11:24am PDT
Grid Computing in R with Easy Scalability
Econ 140
11:42am PDT
Classifying Murderers in Imbalanced Data Using randomForest
McCaw Hall
1:00pm PDT
mumm: An R-package for fitting multiplicative mixed models using the Template Model Builder (TMB)
Econ 140
1:18pm PDT
A Lap Around R Tools for Visual Studio
McCaw Hall
1:36pm PDT
Revisiting the Boston data set (Harrison and Rubinfeld, 1978)
SIEPR 120
Simulation and power analysis of generalized linear mixed models
Econ 140
1:40pm PDT
Changing lives with Data Science at Microsoft
Lane & Lyons & Lodato
1:54pm PDT
The simulator: An Engine for Streamlining Simulations
Barnes & McDowell & Cranston
1:55pm PDT
Bringing the Power of R to Citizen Data Scientists
Lane & Lyons & Lodato
2:12pm PDT
High performance climate downscaling in R
SIEPR 120
Providing Digital Provenance: from Modeling through Production
Barnes & McDowell & Cranston
Using R in a regulatory environment: FDA experiences.
McCaw Hall
2:30pm PDT
Logistic modelling of increased antibacterial resistance with sales
Sponsor Pavilion
The Use of Ensemble Learning Methods in Open Source Data Challenges
Sponsor Pavilion
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
10:35am PDT
Introduce R package: Tree Branches Evaluated Statistically for Tightness (TBEST)
Econ 140
10:40am PDT
Forecasting Revenue for S&P 500 Companies Using the baselineforecast Package
Econ 140
10:50am PDT
ranger: A fast implementation of random forests for high dimensional data
Lane & Lyons & Lodato
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Econ 140
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Daniela Witten
Deborah Nolan
Donald Knuth
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Richard Becker
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R Initiatives
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Longyi Bi
Diane Grill
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KG
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JP
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