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Brian Kreeger

Teradata Corporation
Sr. Data Scientist
Minneapolis, MN

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

10:15am PDT

Coffee Break Econ 140

10:30am PDT

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

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane

2:15pm PDT

Coffee Break Lane

2:30pm PDT

Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2) Lane

4:00pm PDT

Short Break McCaw Hall

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

5:20pm PDT

Discussion 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

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

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

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

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

2:12pm PDT

Wrap your model in an R package! SIEPR 120

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall A Large Scale Regression Model Incorporating Networks using Aster and R Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

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

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 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

6:30pm PDT

Welcome Reception Bing Concert Hall

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130

10:48am PDT

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

11:00am PDT

Text Mining and Sentiment Extraction in Central Bank Documents SIEPR 120

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:20pm PDT

How Teradata Aster R Scales Data Science Lane & Lyons & Lodato

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:45am PDT

Clustering of Hierarchically-Linked Multivariate Datasets 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

11:42am PDT

rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:35pm PDT

Interact with Python from within R McCaw Hall

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall