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Andy Pryke

BrightTarget
Chief Data Scientist
Toronto, Canada

brighttarget.com

Beer, food, predictive analytics, data mining, automated data science, machine learning, managing remote teams.

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140

4:15pm PDT

What's up with the R consortium? McCaw Hall

4:40pm PDT

Presentation of the Women in R task force McCaw Hall

5:00pm PDT

R-Ladies Presentation 1 McCaw Hall

5:10pm PDT

R-Ladies Presentation 2 McCaw Hall

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

edeaR: Extracting knowledge from process data Econ 140 R in machine learning competitions McCaw Hall

10:48am PDT

Implementing R in old economy companies: From proof-of-concept to production Econ 140

11:06am PDT

R: The last line of defense against bad debt Econ 140

11:24am PDT

Automating our work away: One consulting firm's experience with KnitR Econ 140

11:42am PDT

How can I get everyone else in my organisation to love R as much as I do? Econ 140

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:18pm PDT

Experiences on the Use of R in the Water Sector SIEPR 120 htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato Transforming a museum to be data-driven using R McCaw Hall

1:36pm PDT

A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho SIEPR 120

1:54pm PDT

Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny SIEPR 120

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

3:30pm PDT

Literate Programming McCaw Hall

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

Deep Learning for R with MXNet SIEPR 130 Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall Data validation infrastructure: the validate package Barnes & McDowell & Cranston Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification SIEPR 130

5:39pm PDT

R AnalyticFlow 3: Interactive Data Analysis GUI for R Lane & Lyons & Lodato xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall Rectools: An Advanced Recommender System SIEPR 130

10:30am PDT

Notebooks with R Markdown McCaw Hall Predicting individual treatment effects Lane & Lyons & Lodato Profvis: Profiling tools for faster R code Econ 140 Empowering Business Users with Shiny SIEPR 120

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:00am PDT

Text Mining and Sentiment Extraction in Central Bank Documents SIEPR 120

11:06am PDT

Efficient tabular data ingestion and manipulation with MonetDBLite SIEPR 130 On the emergence of R as a platform for emergency outbreak response McCaw Hall

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:30am 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

R markdown: Lifesaver or death trap? McCaw Hall Reusable R for automation, small area estimation and legacy systems Barnes & McDowell & Cranston Run-time Testing Using assertive SIEPR 130 R at Google Lane & Lyons & Lodato

1:18pm PDT

Tools for Robust R Packages SIEPR 130

1:36pm PDT

Revisiting the Boston data set (Harrison and Rubinfeld, 1978) SIEPR 120

1:54pm PDT

Checkmate: Fast and Versatile Argument Checks SIEPR 130

2:30pm PDT

Coffee Break with Poster Session McCaw Hall

10:30am PDT

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall A Shiny App is Worth 1000**3 Words: A Case Study in Displaying Three-Dimensional Dose Combination Response Data Econ 140

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato

11:05am PDT

Using R at a rapidly scaling healthcare technology startup Econ 140

11:10am PDT

Event Detection with Social Media Data Econ 140

11:24am PDT

DataSHIELD: Taking the analysis to the data McCaw Hall

11:26am PDT

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

1:00pm PDT

Hash Tables in R are Slow SIEPR 130

1:15pm PDT

Getting R into your bathroom McCaw Hall

1:25pm PDT

Weather Alerts Data with R SIEPR 130

1:30pm PDT

The Best Time to Post on Reddit McCaw Hall 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 Let's meet on satRday! McCaw Hall