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Chunhung Chou

CyberDaemons Corp.
Hsinchu County/City, Taiwan

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

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

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

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