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Chunhung Chou
CyberDaemons Corp.
Hsinchu County/City, Taiwan
Monday
, June 27
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
Small Area Estimation with R (Part 1)
Lane
1:00pm PDT
Effective Shiny Programming (Part 1)
McCaw Hall
Introduction to SparkR (Part 1)
Econ 140
Understanding and creating interactive graphics (Part 1)
McDowell & Cranston
Tuesday
, June 28
9:00am PDT
Forty years of S
McCaw Hall
10:30am PDT
R in machine learning competitions
McCaw Hall
Using Spark with Shiny and R Markdown
SIEPR 130
10:48am PDT
Two-sample testing in high dimensions
Lane & Lyons & Lodato
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
1:18pm PDT
Fast additive quantile regression in R
Barnes & McDowell & Cranston
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
Integrating R & Tableau
Sponsor Pavilion
mvarVis: An R package for Visualization of Multivariate Analysis Results
Sponsor Pavilion
Prediction of key parameters in the production of biopharmaceuticals using R
Sponsor Pavilion
Visualizations and Machine Learning in R with Tessera and Shiny
Sponsor Pavilion
4:45pm PDT
flexdashboard: Easy interactive dashboards for R
Lane & Lyons & Lodato
How to keep your R code simple while tackling big datasets
Barnes & McDowell & Cranston
5:03pm PDT
When will this machine fail?
SIEPR 120
5:21pm PDT
Using Shiny modules to build more-complex and more-manageable apps
Lane & Lyons & Lodato
5:39pm PDT
Rho: High Performance R
McCaw Hall
5:57pm PDT
Rectools: An Advanced Recommender System
SIEPR 130
6:30pm PDT
Welcome Reception
Bing Concert Hall
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:30am PDT
Importing modern data into R
SIEPR 130
10:48am PDT
Size of Datasets for Analytics and Implications for R
Econ 140
11:06am PDT
On the emergence of R as a platform for emergency outbreak response
McCaw Hall
11:24am PDT
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:30am PDT
Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers
SIEPR 120
11:42am PDT
Classifying Murderers in Imbalanced Data Using randomForest
McCaw Hall
1:00pm PDT
Reusable R for automation, small area estimation and legacy systems
Barnes & McDowell & Cranston
R at Google
Lane & Lyons & Lodato
1:18pm PDT
Tools for Robust R Packages
SIEPR 130
1:36pm PDT
Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider
McCaw Hall
1:54pm PDT
Spatial data in R: simple features and future perspectives
SIEPR 120
2:30pm PDT
Monitoring nonlinear profiles with R: an application to Quality Control
Sponsor Pavilion
Multiple-Output Quantile Regression in R
Sponsor Pavilion
Rapid development of shiny apps for in-house data mining in biological data
Sponsor Pavilion
Thursday
, June 30
9:00am PDT
Statistical Thinking in a Data Science Course
McCaw Hall
10:30am PDT
Shiny Gadgets: Interactive tools for Programming and Data Analysis
McCaw Hall
10:45am PDT
Clustering of Hierarchically-Linked Multivariate Datasets
Econ 140
11:25am PDT
Outlier Detection Methods
Econ 140
11:26am PDT
Big data algorithms for rank-based estimation
Lane & Lyons & Lodato
1:20pm PDT
shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript
SIEPR 130
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Jun 27
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Longyi Bi
Diane Grill
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