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MB

Maciej Bledowski

eBay
Data Scientist
Zurich

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

Understanding and creating interactive graphics (Part 1) McDowell & Cranston

2:30pm PDT

Understanding and creating interactive graphics (Part 2) McDowell & Cranston

4:15pm PDT

What's up with the R consortium? McCaw Hall

8:00am PDT

Registration check-in McCaw Hall

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 Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

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

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

1:00pm PDT

Group and sparse group partial least squares approaches applied in a genomics context Barnes & McDowell & Cranston Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston What can R learn from Julia Lane & Lyons & Lodato

1:54pm PDT

Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny SIEPR 120 Multiple Hurdle Tobit models in R: The mhurdle package Barnes & McDowell & Cranston Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:12pm PDT

Detection of Differential Item Functioning with difNLR function Barnes & McDowell & Cranston

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions SIEPR 130

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130

5:21pm PDT

Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification SIEPR 130

5:39pm PDT

xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

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

Notebooks with R Markdown McCaw Hall

10:48am PDT

Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

11:06am PDT

On the emergence of R as a platform for emergency outbreak response McCaw Hall

11:24am PDT

Network Diffusion of Innovations in R: Introducing netdiffuseR McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:30pm PDT

Statistical Computing with R Lane & Lyons & Lodato

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 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

Spatial data in R: simple features and future perspectives SIEPR 120

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

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

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

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

1:00pm PDT

Hash Tables in R are Slow SIEPR 130

1:05pm PDT

Visualization of Uncertainty for Longitudinal Data SIEPR 130

1:10pm PDT

Scalable semi-parametric regression with mgcv package and bam procedure SIEPR 130

1:15pm PDT

Peirce--theory-of-signs in R SIEPR 130

1:20pm PDT

shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript SIEPR 130

1:25pm PDT

Weather Alerts Data with R SIEPR 130

1:30pm PDT

Thinking about Energy Markets with interactivity SIEPR 130

1:35pm PDT

Understanding human behavior for applications in finance and social sciences: Insights from content analysis with novel Bayesian learning in R SIEPR 130

1:40pm PDT

Interactive dashboards for visual quality control of air quality data SIEPR 130

1:45pm PDT

Optimizing Food Inspections with Analytics McCaw Hall

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall