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AC

Avi Cohen

Labatt Food Service
Analyst

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

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130 Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130 Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2) Lane

10:30am PDT

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

Bayesian analysis of generalized linear mixed models with JAGS Barnes & McDowell & Cranston

11:24am PDT

United Nations World Population Projections with R McCaw Hall

11:42am PDT

How can I get everyone else in my organisation to love R as much as I do? Econ 140 jailbreakr: Get out of Excel, free McCaw Hall

1:36pm PDT

What can R learn from Julia Lane & Lyons & Lodato

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

5:39pm PDT

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

10:30am PDT

Notebooks with R Markdown McCaw Hall

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

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

1:18pm PDT

A Lap Around R Tools for Visual Studio McCaw Hall 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

2:12pm PDT

brglm: Reduced-bias inference in generalized linear models Econ 140

2:30pm PDT

Bayesian inference for Internet ratings data using R Sponsor Pavilion The markovchain R package Sponsor Pavilion The Use of Ensemble Learning Methods in Open Source Data Challenges Sponsor Pavilion

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

11:25am PDT

Outlier Detection Methods Econ 140

11:26am PDT

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

1:25pm PDT

Two Cultures: From Stata to R McCaw Hall

1:30pm PDT

The Best Time to Post on Reddit McCaw Hall

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato